Research on Geographical Environment Unit Division Based on the Method of Natural Breaks (Jenks)

336 citations as recorded by crossref.

1. Study on Deformation Evolution Characteristics of Reverse‐Dip Rock Slope under the Influence of Rainfall J. Zhang et al. https://doi.org/10.1155/2021/8789588
2. Melintas di Atas Air: Dampak Banjir Rob terhadap Sektor Transportasi dan Strategi Adaptasi di Kota Semarang A. Maarif et al. https://doi.org/10.46830/wriwp.25.00110
3. Grassroots innovations for sustainability in the United States: A spatial analysis E. Nicolosi et al. https://doi.org/10.1016/j.apgeog.2017.12.024
4. Pavement Marking Worn Identification and Classification Using Low-Channel LiDAR C. Lin et al. https://doi.org/10.1109/TIM.2025.3527540
5. Promoting the conservation of the leopard in North China based on habitat suitability and connectivity G. Liang et al. https://doi.org/10.1016/j.gecco.2024.e02817
6. Sensitivity Assessment of Land Desertification in China Based on Multi-Source Remote Sensing Y. Ren et al. https://doi.org/10.3390/rs15102674
7. Assessment and Management of Pressure on Water Quality Protection along the Middle Route of the South-to-North Water Diversion Project B. Han et al. https://doi.org/10.3390/su11113087
8. Flood Hazard Mapping Using Fuzzy Logic, Analytical Hierarchy Process, and Multi-Source Geospatial Datasets S. Parsian et al. https://doi.org/10.3390/rs13234761
9. Geographical indication agricultural products, livelihood capital, and resilience to meteorological disasters: evidence from kiwifruit farmers in China Y. Qin et al. https://doi.org/10.1007/s11356-021-15547-1
10. Global long-term trends and spatial cluster analysis of pancreatic cancer incidence and mortality over a 30-year period using the global burden of disease study 2019 data M. Amini et al. https://doi.org/10.1371/journal.pone.0288755
11. Sediment Quality for Enhanced CVI Assessment and Environmental Management in Mediterranean Micro-Tidal Coasts I. López et al. https://doi.org/10.3390/su18062750
12. Modelling inter-pixel spatial variation of surface urban heat island intensity Y. Chen et al. https://doi.org/10.1007/s10980-022-01464-2
13. Importance of including Key Biodiversity Areas in China's conservation area-based network X. Dong et al. https://doi.org/10.1016/j.biocon.2024.110676
14. Deep Learning-Based analytic framework using comprehensive urbanization index for heat vulnerability assessment in urban areas Y. Kim & Y. Kim https://doi.org/10.1016/j.eswa.2023.121140
15. Assessing multi-hazard susceptibility to cryospheric hazards: Lesson learnt from an Alaskan example L. Elia et al. https://doi.org/10.1016/j.scitotenv.2023.165289
16. Spatial–Temporal Effects and Driving Mechanisms of High-Speed Rail on County-Level Construction Land Expansion: A Case Study of the Beijing–Tianjin–Hebei Region L. Li et al. https://doi.org/10.1061/JUPDDM.UPENG-5488
17. Reductions of migrant population reduces the number of COVID-19 epidemic: a case study in China L. Han & J. Jia https://doi.org/10.1007/s11356-021-13195-z
18. Analyzing Spatiotemporal Variations and Influencing Factors in Low-Carbon Green Agriculture Development: Empirical Evidence from 30 Chinese Districts Z. Ma et al. https://doi.org/10.3390/agriculture15171853
19. Spatial–temporal analysis and spatial drivers of hepatitis-related deaths in 183 countries, 2000–2019 J. Li et al. https://doi.org/10.1038/s41598-023-45672-5
20. Wildfire assessment using machine learning algorithms in different regions S. Moghim & M. Mehrabi https://doi.org/10.1186/s42408-024-00335-2
21. Regional Flood Emergency Capacity Assessment Based on a Multidimensional Framework X. Tan et al. https://doi.org/10.1111/jfr3.70216
22. Mapping Landslide Susceptibility Using Machine Learning Algorithms and GIS: A Case Study in Shexian County, Anhui Province, China Z. Wang et al. https://doi.org/10.3390/sym12121954
23. 基于环境效应的以竹代塑产品分级研究<bold> </bold> 梦. 张 et al. https://doi.org/10.1360/SSTe-2023-0302
24. Enhancing forest fire susceptibility mapping in Xichang City, China using DBSCAN-based non-fire point selection integrated with deep neural network L. Xie et al. https://doi.org/10.1080/19475705.2024.2443465
25. Incorporating Spatial Statistics into Examining Equity in Health Workforce Distribution: An Empirical Analysis in the Chinese Context B. Zhu et al. https://doi.org/10.3390/ijerph15071309
26. Spatial Heterogeneity and Driving Mechanisms of Forest Carbon Storage in Wuyi Mountain National Park Y. Liu et al. https://doi.org/10.3390/f17070838
27. Prevalence, distribution and factors associated with modern contraceptive use among women of reproductive age in Uganda: evidence from UDHS 2016 M. Towongo & M. Kelepile https://doi.org/10.1186/s40834-024-00288-6
28. Forecasting short-term traffic speed based on multiple attributes of adjacent roads D. Yu et al. https://doi.org/10.1016/j.knosys.2018.09.003
29. Regional drought risk assessment in the Central Highlands and the South of Vietnam T. Le et al. https://doi.org/10.1080/19475705.2021.1998232
30. Threats of soil erosion under CMIP6 SSPs scenarios: an integrated data mining techniques and geospatial approaches A. Saha et al. https://doi.org/10.1080/10106049.2022.2127925
31. Assessment of the groundwater favorability of fractured aquifers from the southeastern Brazil crystalline basement T. Brito et al. https://doi.org/10.1080/02626667.2019.1703993
32. Mapping Landslide Sensitivity Based on Machine Learning: A Case Study in Ankang City, Shaanxi Province, China B. Zhao et al. https://doi.org/10.1155/2022/2058442
33. A Comprehensive Methodological Approach to Soil Quality Assessment in Mountainous Semi-Arid Agroecosystems S. Mallah et al. https://doi.org/10.3390/agronomy16121200
34. Potential of Urban Land Use by Autonomous Vehicles: Analyzing Land Use Potential in Seoul Capital Area of Korea N. Kang & Y. Kim https://doi.org/10.1109/ACCESS.2019.2929777
35. Rehabilitation planning in an oilfield in the Monte Austral: Mapping sand‐sized sediment availability and assessing its effect on microtopography rehabilitation M. Ciancio et al. https://doi.org/10.1002/esp.5448
36. Participatory multi-criteria decision analysis to prioritize management areas that help suppress wildfires S. Rodríguez-Fernández et al. https://doi.org/10.3389/ffgc.2025.1654107
37. Predicting the Potential Geographic Distributions of Two Large Predatory Insects, Microstylum dux and M. oberthurii (Diptera: Asilidae), Under Climate Change: A Comprehensive Analysis Based on Optimised Biomod2 Ensemble Model Z. Zhang et al. https://doi.org/10.3390/insects17050533
38. Geovisualization and Spatial Modelling of Armed Conflicts in the Great Lake Region of Central and East Africa S. Njoya Ngetar et al. https://doi.org/10.1007/s12061-025-09671-5
39. Coupling coordination between environmental risk and urban economic vitality in hot arid climates: An open-source remote sensing-based assessment model A. Mohammed https://doi.org/10.1016/j.hssust.2026.03.001
40. A Knowledge-Guided Approach for Landslide Susceptibility Mapping Using Convolutional Neural Network and Graph Contrastive Learning H. Liu et al. https://doi.org/10.3390/su16114547
41. Strengthened tropical cyclones and higher flood risk under compound effect of climate change and urbanization across China's Greater Bay Area Z. Deng et al. https://doi.org/10.1016/j.uclim.2022.101224
42. Geospatial Assessment and Modeling of Water–Energy–Food Nexus Optimization for Sustainable Paddy Cultivation in the Dry Zone of Sri Lanka: A Case Study in the North Central Province A. Iddawela et al. https://doi.org/10.3390/w18020152
43. Teleconsultation cabins: a response to France’s healthcare access crisis? P. Vidal & A. Rezanova https://doi.org/10.1007/s10708-025-11345-1
44. Regionalization of Human Settlement Suitability in the Natural Environment of the Tibetan Plateau J. Liu & Z. Xin https://doi.org/10.34133/ehs.0442
45. Multidimensional poverty and the co-occurrence of undernutrition and intestinal parasitic infections in Ecuadorian infants: a geospatial analysis P. Vinueza-Veloz et al. https://doi.org/10.3389/fpubh.2025.1668303
46. Study on the identification and dynamics of green vision rate in Jing’an district, Shanghai based on deeplab V3 + model A. Gou et al. https://doi.org/10.1007/s12145-021-00691-6
47. Assessing flood and waterlogging vulnerability and community governance in urban villages in the context of climate change: A case study of 89 urban villages in Shanghai S. Chen et al. https://doi.org/10.1016/j.scs.2025.106377
48. A Scientific Basis for Designation of the Northeast Canyons and Seamounts Marine National Monument P. Auster et al. https://doi.org/10.3389/fmars.2020.00566
49. Estimating the spatial distribution of environmental suitability for female lung cancer mortality in China based on a novel statistical method X. Han et al. https://doi.org/10.1007/s11356-019-04444-3
50. Assessment of Beach Erosion Vulnerability in the Province of Valencia, Spain P. Ortiz et al. https://doi.org/10.3390/jmse12122111
51. Safer Traffic Recovery from the Pandemic in London – Spatiotemporal Data Mining of Car Crashes K. Qian & Y. Li https://doi.org/10.1007/s12061-023-09533-y
52. Flood susceptibility prioritization in Dimoria block Assam using GIS and analytical hierarchy process S. Choudhury & M. Dutta https://doi.org/10.1007/s44274-026-00623-5
53. Cognitive Evaluation of Examinees by Dynamic Question Set Generation based on Bloom’s Taxonomy A. Dutta et al. https://doi.org/10.1080/03772063.2023.2175060
54. The spatial distribution of potential natural infrastructure practices in the Mississippi-Atchafalaya River Basin E. Anderson et al. https://doi.org/10.1016/j.nexres.2025.100858
55. Identifying the natural reserve area of Cistanche salsa under the effects of multiple host plants and climate change conditions using a maximum entropy model in Xinjiang, China M. Shao et al. https://doi.org/10.3389/fpls.2022.934959
56. Spatial-temporal assessment of Uaymil Protected Area conservation status using an ecosystem quality index from 2000-2023 L. Coba et al. https://doi.org/10.4995/raet.2025.22276
57. Heterogeneity Performance of Cross-border Development Under the Influence of High-speed Rail Flow and Information Flow in Yangtze River Delta Region, China W. Duan et al. https://doi.org/10.1007/s11769-026-1601-2
58. Vulnerability of the accessibility to grocery shopping in the event of flooding S. Wiśniewski et al. https://doi.org/10.1016/j.trd.2020.102510
59. Environmental and socio-economic determinants associated with the occurrence of cutaneous leishmaniasis in the northeast of Colombia J. Gutierrez et al. https://doi.org/10.1093/trstmh/try011
60. Emergency Road Network Determination for Seoul Metropolitan Area S. Choi et al. https://doi.org/10.3390/su14095422
61. Climate Change Accelerates Nitrate Delivery to Groundwater S. Chen et al. https://doi.org/10.1021/acs.est.6c02534
62. Consumer Travel Behaviors and Transport Carbon Emissions: A Comparative Study of Commercial Centers in Shenyang, China J. Li et al. https://doi.org/10.3390/en9100765
63. Predicting Climate-Driven Soil Erosion in Bangladesh Using Fuzzy-AHP and Ensemble Machine Learning M. Tania et al. https://doi.org/10.1007/s41748-026-01079-6
64. Digital Elevation Model-Driven River Channel Boundary Monitoring Using the Natural Breaks (Jenks) Method R. Gui et al. https://doi.org/10.3390/rs17061092
65. COVID-19 Sürecinde Türkiye Turizminin Mekansal Görünümü: Hangi İl Nasıl Etkilendi? İ. KERVANKIRAN & M. BAĞMANCI https://doi.org/10.33688/aucbd.897621
66. Assessment of urbanization impact on cultural heritage based on a risk-based cumulative impact assessment method L. Fu et al. https://doi.org/10.1186/s40494-023-01024-0
67. How do climate and land use change impact sediment yield in a Caspian Sea sub-basin? A. Daneshi et al. https://doi.org/10.1007/s13762-024-05501-2
68. Geospatial technique for the delineation of groundwater potential zones using multi-criteria-based AHP and MIF methods A. Multaniya et al. https://doi.org/10.2166/ws.2024.062
69. Evaluating Sea Level Rise Impacts on the Southeastern Türkiye Coastline: a Coastal Vulnerability Perspective F. Aykut & D. Tezcan https://doi.org/10.1007/s41064-024-00284-0
70. Real-time probabilistic spatiotemporal forecasting of building functionality in flood emergencies: a deep learning approach to facilitate community evacuation planning L. Xie et al. https://doi.org/10.1080/15732479.2025.2529469
71. River basin-scale flood hazard assessment using a modified multi-criteria decision analysis approach: A case study A. Shadmehri Toosi et al. https://doi.org/10.1016/j.jhydrol.2019.04.072
72. Gully erosion and climate induced chemical weathering for vulnerability assessment in sub-tropical environment R. Chakrabortty et al. https://doi.org/10.1016/j.geomorph.2021.108027
73. Evolution Characteristics and Influencing Factors of Agricultural Drought Resilience: A New Method Based on Convolutional Neural Networks Combined with Ridge Regression C. Jiang et al. https://doi.org/10.3390/su17114808
74. Spatial assessment of surface water vulnerability through MCDM and open-source data P. Kazemi Veisari et al. https://doi.org/10.1007/s10661-025-14357-z
75. Land system changes of terrestrial tipping elements on Earth under global climate pledges: 2000–2100 J. Lv et al. https://doi.org/10.1038/s41597-025-04444-8
76. Health disparities in Russia at the regional and global scales N. Shartova et al. https://doi.org/10.1186/s12939-021-01502-6
77. Parks, Green Space, and Happiness: A Spatially Specific Sentiment Analysis Using Microblogs in Shanghai, China S. Lai & B. Deal https://doi.org/10.3390/su15010146
78. Sky view factor estimation from street view images based on semantic segmentation Y. Xia et al. https://doi.org/10.1016/j.uclim.2021.100999
79. Mapping the Affordability of Campus Digital Twin Implementation in the United States Y. Wang et al. https://doi.org/10.3390/smartcities9080122
80. Evaluation of freeze–thaw erosion in Tibet based on the cloud model J. Fan et al. https://doi.org/10.1007/s11707-021-0873-1
81. Planning scale flood risk assessment and prediction in ultra-high density urban environments: The case of Hong Kong X. Gu & X. Liu https://doi.org/10.1016/j.ecolind.2024.112000
82. Use of the classification by a decision tree in the analysis of the effect of urban dynamics on the consumption of agricultural land in the municipality of Batna A. Bendib & K. Berghout https://doi.org/10.1007/s12524-023-01702-3
83. Modeling and interpreting the probability of soil heavy metal contamination in China B. Zhang & Y. Zhao https://doi.org/10.1080/10807039.2025.2520869
84. Estimation of high-resolution emissions using functionally-filtered nighttime lights in monocentric and polycentric cities: Fusion of remotely sensed human activities and social media data for carbon neutral settlements H. Lu et al. https://doi.org/10.1016/j.apenergy.2025.126562
85. Using forest fire experts’ opinions and GIS/remote sensing techniques in locating forest fire lookout towers T. Amiri et al. https://doi.org/10.1007/s12518-022-00476-6
86. Evolution Characteristics of Urban Land Use Efficiency Under Environmental Constraints in China S. Jiaying & H. Yafen https://doi.org/10.5814/j.issn.1674-764x.2021.02.002
87. Dam Site Suitability Mapping and Analysis Using an Integrated GIS and Machine Learning Approach R. Al-Ruzouq et al. https://doi.org/10.3390/w11091880
88. Spatial-time analysis of cardiovascular emergency medical requests: enlightening policy and practice A. Azimi et al. https://doi.org/10.1186/s12889-020-10064-1
89. Compound Heat Vulnerability in the Record-Breaking Hot Summer of 2022 over the Yangtze River Delta Region S. Jiang https://doi.org/10.3390/ijerph20085539
90. Pine Wilt Disease Risk Is Determined by Water Vapor Pressure, Maximum Temperature, and Beetle Vector Distribution L. Chen et al. https://doi.org/10.1094/PDIS-05-25-1029-RE
91. Predicting Suitable Areas for African Swine Fever Outbreaks in Wild Boars in South Korea and Their Implications for Managing High-Risk Pig Farms J. Choi et al. https://doi.org/10.3390/ani13132148
92. Impacts of Land Use/Land Cover Changes on the Hydrology of the Fafan Catchment Ethiopia M. Amare et al. https://doi.org/10.1007/s41651-024-00172-6
93. A Remote Sensing-Driven Dynamic Risk Assessment Model for Cyclical Glacial Lake Outbursts: A Case Study of Merzbacher Lake T. Feng et al. https://doi.org/10.3390/rs18010047
94. Spatial–temporal evolution and land use transition of rural settlements in mountainous counties S. Chen et al. https://doi.org/10.1186/s12302-024-00868-y
95. Analysis of Spatiotemporal Dynamics and Driving Factors of China’s Nationally Important Agricultural Heritage Systems F. Ju et al. https://doi.org/10.3390/agriculture15020221
96. Enhancing daytime cooling effect in river network cities: Balancing coordination between river network structures and riverfront built environment forms in Hangzhou X. Zhang et al. https://doi.org/10.1016/j.uclim.2025.102666
97. Global trends and spatial drivers of diabetes mellitus mortality, 1990-2019: a systematic geographical analysis Z. Xu et al. https://doi.org/10.3389/fendo.2024.1370489
98. Analysis of urban flood risk for the implementation of sustainable land use measures K. Park & S. Choi https://doi.org/10.1016/j.cliser.2025.100568
99. Patterns of Nighttime Crowd Flows in Tourism Cities Based on Taxi Data—Take Haikou Prefecture as an Example B. Han et al. https://doi.org/10.3390/rs14061413
100. Analysis of Growth Characteristics of Kimchi Cabbage Using Drone-Based Cabbage Surface Model Image S. Go et al. https://doi.org/10.3390/agriculture12020216
101. Spatiotemporal dynamics and drivers of vegetation cover in the Sichuan Basin and surrounding mountainous regions Z. Wang et al. https://doi.org/10.1016/j.ecofro.2025.10.018
102. Multi-criteria Decision-Making Approaches to Agricultural Land Suitability Classification of Malda District, Eastern India P. Mistri & S. Sengupta https://doi.org/10.1007/s11053-019-09556-8
103. Quantifying Topographic Ruggedness Using Principal Component Analysis M. Habib & W. Wen https://doi.org/10.1155/2021/3311912
104. Global potential distribution of Paeonia lactiflora and its climate-driven shifts: insights from an enhanced MaxEnt model integrating soil and solar radiation variables J. Cai et al. https://doi.org/10.3389/fpls.2026.1756429
105. Quantifying the spatiotemporal dynamics of urban flooding susceptibility in the greater bay area under shared socio-economic pathways using the SD-PLUS-LightGBM framework S. Zhou et al. https://doi.org/10.1016/j.resconrec.2025.108534
106. Flood Susceptibility Assessment with Random Sampling Strategy in Ensemble Learning (RF and XGBoost) H. Ren et al. https://doi.org/10.3390/rs16020320
107. Heterogeneous Urban Thermal Contribution of Functional Construction Land Zones: A Case Study in Shenzhen, China H. Wang et al. https://doi.org/10.3390/rs14081851
108. The Impact of Feature Selection on XGBoost Performance in Landslide Susceptibility Mapping Using an Extended Set of Features: A Case Study from Southern Poland K. Pawłuszek-Filipiak & T. Lewandowski https://doi.org/10.3390/app15168955
109. A River Channel Extraction Method Based on a Digital Elevation Model Retrieved from Satellite Imagery R. Gui et al. https://doi.org/10.3390/w14152387
110. Assessing a multi-method approach for dryland soil salinization with respect to climate change and global warming – The example of the Bajestan region (NE Iran) A. Khosravichenar et al. https://doi.org/10.1016/j.ecolind.2023.110639
111. Spatio-Temporal Changes in Wildlife Habitat Quality in the Greater Serengeti Ecosystem H. Kija et al. https://doi.org/10.3390/su12062440
112. Explainable Susceptibility Modelling of Urban Ground Collapse Considering Dynamic Rainfall and Background Controls: A Case Study in Shenzhen, China S. Hu et al. https://doi.org/10.3390/app16157541
113. The contribution of tourism mobility to tourism economic growth in China J. Liu et al. https://doi.org/10.1371/journal.pone.0275605
114. Greenery for regulating outdoor thermal comfort in various urban environments of a humid-subtropical climate under extreme heat conditions W. Zhou et al. https://doi.org/10.1016/j.ufug.2025.129038
115. Displacement evolution of reverse-dip rock slope considering the change of the reservoir level L. Xie et al. https://doi.org/10.1007/s12665-021-10004-1
116. Predicting urban vitality and pedestrian road safety in urban areas based on machine learning W. Qiao & H. Zheng https://doi.org/10.1016/j.cities.2025.106193
117. Determination of the level of sustainable development of the cities - a proposal for a method of classifying objects based on natural breaks K. Rząsa & M. Ciski https://doi.org/10.31648/aspal.6701
118. Landslide Susceptibility Modeling in a Railway in the Amazon Region: Integration of the Weight of Evidence (WOE) Method and InSAR Monitoring Data F. Silva et al. https://doi.org/10.1007/s10706-025-03418-2
119. Evaluating the efficiency of primary health care institutions in China: an improved three-stage data envelopment analysis approach W. Su et al. https://doi.org/10.1186/s12913-023-09979-3
120. Integrated risk assessment of landslide in karst terrains: Advancing landslides management in Beiliu City, China M. Chang et al. https://doi.org/10.1016/j.jag.2024.104046
121. Identification and Optimization of County-Level Ecological Spaces under the Dual-Carbon Target: A Case Study of Shaanxi Province, China J. Li et al. https://doi.org/10.3390/rs15164009
122. Anthropogenic and climate driven risks of multi-species plant invasions in Sub-Himalayan grassland ecosystems J. Deka et al. https://doi.org/10.1007/s10530-025-03590-9
123. Caracterizando la seguridad hídrica con enfoque de cuenca hidrológica: Caso de estudio Veracruz, México A. De la Rosa et al. https://doi.org/10.4995/ia.2021.15221
124. Micro, small, and medium enterprises (MSME) to promote sustainability of urban kampongs and cultural landscape in Semarang City-Indonesia: an examination on the typology H. Sundaro et al. https://doi.org/10.1088/1755-1315/1394/1/012014
125. The Origin of Seismic and Tectonic Activity Underlying the Sichuan Basin, Central China Z. Su et al. https://doi.org/10.1029/2022TC007629
126. Mapping fine-scale spatial risk patterns of gestational diabetes over time in Australia: a nationwide geospatial study W. Takele et al. https://doi.org/10.1136/bmjopen-2025-101272
127. Retrospective Assessment of Urban Flooding Susceptibility on the Qinghai–Tibet Plateau Under Data Scarcity Y. Liu et al. https://doi.org/10.3390/ijgi15070309
128. Infill development approach: A smart transition way to the sustainable future urban development N. Ghodsi et al. https://doi.org/10.1016/j.suscom.2021.100614
129. Extracting human perceptions from street view images for better assessing urban renewal potential J. He et al. https://doi.org/10.1016/j.cities.2023.104189
130. A robust gap-filling method for predicting missing observations in daily Black Marble nighttime light data X. Hao et al. https://doi.org/10.1080/15481603.2023.2282238
131. Measurement of the intellectual capital of Russian regions N. Roze https://doi.org/10.15826/recon.2021.7.2.007
132. An empirical study of Thailand cities' color landscapes C. Gao & J. Iqbal https://doi.org/10.1016/j.heliyon.2023.e17558
133. Optimal Block Size for Improving Urban Vitality: An Exploratory Analysis with Multiple Vitality Indicators X. Gan et al. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000696
134. Integration of Building Age into Flood Hazard Mapping: A Case Study of Al Ain City, United Arab Emirates T. Alsumaiti et al. https://doi.org/10.3390/w16172408
135. Predicting the spread of Chinese tallow (Triadica sebifera) in the southeastern United States forestland: Mechanism and risk factors at the regional scale S. Yang et al. https://doi.org/10.1016/j.foreco.2020.118892
136. Unveiling Route Choice Preferences and Classifying Travelers Based on Distinct Travel Patterns Using Trajectory Data J. Deng et al. https://doi.org/10.1016/j.cstp.2025.101399
137. Analysis of factors influencing spatiotemporal differentiation of the NDVI in the upper and middle reaches of the Yellow River from 2000 to 2020 S. Gao et al. https://doi.org/10.3389/fenvs.2022.1072430
138. Toward an Integrated Probabilistic Coastal Vulnerability Assessment: A Novel Copula‐Based Vulnerability Index A. Tanim & E. Goharian https://doi.org/10.1029/2022WR033603
139. Integrated Framework for Risk and Impact Assessment of Sediment Hazard on a Road Network J. Rose Santos et al. https://doi.org/10.1177/03611981211016462
140. Hot child in the city: Drivers of urban buffelgrass presence in Tucson, Arizona K. Hovanes et al. https://doi.org/10.1111/csp2.13297
141. Desertification Susceptibility Mapping Using Logistic Regression Analysis in the Djelfa Area, Algeria F. Djeddaoui et al. https://doi.org/10.3390/rs9101031
142. Landscape ecological risk projection based on the PLUS model under the localized shared socioeconomic pathways in the Fujian Delta region S. Zhang et al. https://doi.org/10.1016/j.ecolind.2022.108642
143. The contribution of data-driven poverty alleviation funds in achieving mid-21st-Century multidimensional poverty alleviation planning D. Yang et al. https://doi.org/10.1057/s41599-022-01180-x
144. Development of a Municipality Index of Environmental Pressure in Campania, Italy A. Pizzolante et al. https://doi.org/10.2144/fsoa-2021-0055
145. An Exploratory Study of Models of Mobile Map User Experience S. Somaskantharajan et al. https://doi.org/10.1007/s42489-023-00136-8
146. Towards synergistic AI-driven ensemble framework for earthquake and rainfall induced landslide risks in Sikkim Himalayas L. Dutta et al. https://doi.org/10.1007/s11069-025-07160-z
147. Ecological sensitivity analysis of the Chengdu–Chongqing urban agglomeration toward the Yangtze river economic belt in China M. Chen & L. Wang https://doi.org/10.1007/s43621-025-01571-5
148. Spatiotemporal Variations of Freezing and Thawing Indices During the Past Four Decades in Tibet Y. Liao et al. https://doi.org/10.3389/fevo.2021.750961
149. Evaluation of river longitudinal connectivity based on landscape pattern and its application in the middle and lower reaches of the Yellow River, China C. Zhang et al. https://doi.org/10.1007/s11356-022-24391-w
150. Comparative Study of Potential Habitats for Two Endemic Grassland Caterpillars on the Qinghai-Tibet Plateau Based on BIOMOD2 and Land Use Data C. Li et al. https://doi.org/10.3390/insects15100781
151. Spatial and temporal dynamics of plant water source distribution in China H. Chen et al. https://doi.org/10.1016/j.rse.2025.114843
152. A methodological framework integrating habitat suitability and landscape connectivity to identify optimal regions for insecticide application: A case study in Tongzhou, China X. Guo et al. https://doi.org/10.1016/j.jksus.2022.101905
153. Temporal dynamics of urban gas pipeline risks F. Rahimi et al. https://doi.org/10.1038/s41598-024-56136-9
154. Beyond boundaries: AI-optimized global landslide susceptibility mapping M. Panahi et al. https://doi.org/10.1080/19475705.2025.2493222
155. Identifying high risk seafloor areas to bottom trawling in Aotearoa New Zealand to support marine spatial management B. Hall et al. https://doi.org/10.1007/s10531-025-03110-0
156. Analytical Decision Support Systems for Sustainable Urban Regeneration B. Manganelli et al. https://doi.org/10.3390/realestate2030008
157. Integration of satellite, UAV, soil, and topographic data for assessing corn nitrogen uptake at early vegetative growth stages A. Morales-Ona et al. https://doi.org/10.1007/s11119-025-10293-7
158. Identifying the priority areas for enhancing the ecosystem services in hilly and mountainous areas of southern China J. Tian et al. https://doi.org/10.1007/s11629-021-6672-z
159. Research on Urban Spatial Environment Optimization Based on the Combined Influence of Steady-State and Dynamic Vitality: A Case Study of Wuhan City X. Tang et al. https://doi.org/10.3390/land14122427
160. Spatial Correlation between the Changes in Supply and Demand for Water-Related Ecosystem Services Y. Jiang et al. https://doi.org/10.3390/ijgi13030068
161. Private Waste Collection in the Tema Metropolis, Ghana: A Spatial Analysis of User Satisfaction B. Adjei-Asomani et al. https://doi.org/10.1080/00020184.2026.2683192
162. An Improved Information Value Model Based on Gray Clustering for Landslide Susceptibility Mapping Q. Ba et al. https://doi.org/10.3390/ijgi6010018
163. Prediction of suitable distribution areas for Alismatis Rhizoma based on the MaxEnt model and study on quality-environment correlation Z. Wang et al. https://doi.org/10.3389/fpls.2026.1723386
164. Geodetector analysis of individual and joint impacts of natural and human factors on maternal and child health at the provincial scale J. Chen et al. https://doi.org/10.1038/s41598-024-52282-2
165. A hydrologically-partitioned modeling framework for robust assessment of aquatic ecological indicators in dynamic urban rivers Z. Chen et al. https://doi.org/10.1016/j.ecolind.2026.114899
166. Blind spots in global soil biodiversity and ecosystem function research C. Guerra et al. https://doi.org/10.1038/s41467-020-17688-2
167. The lesser of two evils: the role of an instream barrier to control the distribution and invasive potential of non-native fish species in the Mooi River, South Africa M. Burnett et al. https://doi.org/10.1071/MF22228
168. Portfolio Management Strategies Based on Deep Temporal Clustering E. Kouloumpris et al. https://doi.org/10.3390/app151910439
169. Groundwater vulnerability assessment for drinking water suitability using Fuzzy Shannon Entropy model in a semi-arid river basin S. Halder et al. https://doi.org/10.1016/j.catena.2023.107206
170. Socioeconomic inequalities and its spatial pattern in sanitary napkin use in Bangladesh: evidence from the 2019 multiple indicator cluster survey E. Hasan et al. https://doi.org/10.1186/s12963-025-00401-0
171. Grading of products utilizing bamboo as a substitute for plastic based on environmental effects M. Zhang et al. https://doi.org/10.1007/s11430-023-1387-x
172. Rich north, poor south - Regionalization of European water retention: The landscape hydric potential concept J. Wojkowski et al. https://doi.org/10.1016/j.scitotenv.2024.176494
173. Quantifying spatiotemporal variations in tidal flats and coastal land use in Jiangsu Radial Sandbars through remote sensing H. Xu et al. https://doi.org/10.1016/j.rsma.2024.103539
174. Hydrodynamic and geomorphic adjustments of channel bars in the Yichang-Chenglingji Reach of the Middle Yangtze River in response to the Three Gorges Dam operation Y. Lyu et al. https://doi.org/10.1016/j.catena.2020.104628
175. Population spatialization with pixel-level attribute grading by considering scale mismatch issue in regression modeling Y. Mei et al. https://doi.org/10.1080/10095020.2021.2021785
176. Spatial distribution characteristics and influencing factors of China’s important agricultural heritage systems Z. Liu & Y. Li https://doi.org/10.1038/s41598-026-35287-x
177. Selected Environmental Assessment Model and Spatial Analysis Method to Explain Correlations in Environmental and Socio-Economic Data with Possible Application for Explaining the State of the Ecosystem J. Xiong et al. https://doi.org/10.3390/su11174781
178. Identifying potential vegetation establishment areas on the dried Aral Sea floor using satellite images J. Kim et al. https://doi.org/10.1002/ldr.3642
179. Unveiling optimal SDG pathways: an innovative automated recommendation approach integrating graph pruning, intent graph, and attention mechanism Q. Wang et al. https://doi.org/10.1080/17538947.2025.2513048
180. Decoupling anthropogenic and climate impacts on vegetation dynamics in China’s Huaihe River Basin using geodetector X. Wang et al. https://doi.org/10.1038/s41598-025-24198-y
181. Mapping of highway slope hazard susceptibility based on InSAR and machine learning: a pilot study toward road infrastructure resilience Z. Wang et al. https://doi.org/10.1080/14680629.2024.2433176
182. The Location of Hotels and Their Exposure to Hurricanes in Cuba—Implication for Tourism Development in the Context of Climate Change R. Remond-Noa et al. https://doi.org/10.3390/atmos16010024
183. Regional Assessment of Groundwater Contamination Risk from Crude Oil Spillages in the Niger Delta: A Novel Application of the Source-Pathway-Receptor Model A. Oyebamiji et al. https://doi.org/10.1007/s41748-024-00416-x
184. Integrated RUSLE-machine learning modeling for water erosion risk assessment under climate change in a Mediterranean semi-arid region: a comparison of LR, SVM, and RF models Y. Boussalim & Y. Dallahi https://doi.org/10.1007/s12517-026-12478-4
185. Mapping of nighttime light trends and refugee population changes in Ukraine during the Russian–Ukrainian War C. Huang et al. https://doi.org/10.3389/fenvs.2023.1055100
186. Geographic expansion of Fasciola hepatica (Linnaeus, 1758) due to changes in land use and cover in Brazil T. Magalhães de Almeida et al. https://doi.org/10.1016/j.ijpara.2023.12.003
187. Analysis of driving factors for potential toxic metals in major urban soils of China: a geodetetor-based quantitative study Y. Zeng et al. https://doi.org/10.1007/s10653-024-02163-4
188. A comparison of slope units and grid cells as mapping units for landslide susceptibility assessment Q. Ba et al. https://doi.org/10.1007/s12145-018-0335-9
189. Ecological Land Protection or Carbon Emission Reduction? Comparing the Value Neutrality of Mainstream Policy Responses to Climate Change Y. Ren & T. Fan https://doi.org/10.3390/f12121789
190. An auxiliary framework to facilitate earthquake search and rescue operations in urban regions M. Yousefi et al. https://doi.org/10.1007/s11069-024-06619-9
191. Human activity’s impact on urban vegetation in China during the COVID-19 lockdown: An atypical anthropogenic disturbance Y. Li et al. https://doi.org/10.1016/j.isci.2025.112195
192. Integrating climate change and fine-scale habitat suitability to assess amphibian range shift in Mount Emei, China Z. Sun et al. https://doi.org/10.1186/s12983-025-00570-6
193. Predicting urban landslides in the hilly regions of Bangladesh leveraging a hybrid machine learning model and CMIP6 climate projections M. Islam et al. https://doi.org/10.1016/j.geogeo.2025.100354
194. Integrating species distribution and occupancy modeling to study hellbender (Cryptobranchus alleganiensis) occurrence based on eDNA surveys J. Da Silva Neto et al. https://doi.org/10.1016/j.biocon.2020.108787
195. Inequities in the urban food environment of a Brazilian city M. Leite et al. https://doi.org/10.1007/s12571-020-01116-w
196. Detecting the linkage between arable land use and poverty using machine learning methods at global perspective F. Tian et al. https://doi.org/10.1016/j.geosus.2022.01.001
197. Assessing the dynamic land utilization efficiency and relevant driving mechanism in in-situ urbanized rural areas: A case study of 1979 administrative villages in Hangzhou S. Xiang et al. https://doi.org/10.1016/j.eiar.2023.107111
198. Potential Risk Recognition of Agricultural Land Based on Agglomeration Characteristics of Pollution-Related Enterprises: A Case Study on the Black Soil Region in Northeast China X. Zhao et al. https://doi.org/10.3390/su16010417
199. Predicting the Current and Future Distribution of Monolepta signata (Coleoptera: Chrysomelidae) Based on the Maximum Entropy Model Q. Liu et al. https://doi.org/10.3390/insects15080575
200. APLICAÇÃO DO MODELO LINEAR DE MISTURA ESPECTRAL PARA MAPEAMENTO DE PASTAGENS DEGRADADAS E SOLO EXPOSTO NA AMAZÔNIA F. Leal et al. https://doi.org/10.31413/nativa.v8i4.9495
201. Visual conflict in urban landscape design: A study on the influence of street signboards on the saliency of greenery Q. Shi et al. https://doi.org/10.1057/s41289-025-00293-4
202. Assessment of the Potential of Energy Extracted from Waves and Wind to Supply Offshore Oil Platforms Operating in the Gulf of Mexico F. Haces-Fernandez et al. https://doi.org/10.3390/en11051084
203. Determinan Belanja Kesehatan Rumah Tangga di Pulau Jawa Menggunakan Geographically Weighted Regression https://doi.org/10.7454/eki.v9i1.1116
204. Regulating ecosystem services in a local forest: Navigating supply, trade-offs, and synergies J. Jo et al. https://doi.org/10.1016/j.tfp.2023.100466
205. Predicting human perception of the urban environment in a spatiotemporal urban setting using locally acquired street view images and audio clips D. Verma et al. https://doi.org/10.1016/j.buildenv.2020.107340
206. Ecosystem services and disservices in the Luanhe River Basin in China under past, current and future land uses: implications for the sustainable development goals J. Xu et al. https://doi.org/10.1007/s11625-021-01078-8
207. Flash-Flood Susceptibility Assessment Using Multi-Criteria Decision Making and Machine Learning Supported by Remote Sensing and GIS Techniques R. Costache et al. https://doi.org/10.3390/rs12010106
208. The Mitigation Effect of Park Landscape on Thermal Environment in Shanghai City Based on Remote Sensing Retrieval Method T. Wang et al. https://doi.org/10.3390/ijerph19052949
209. The Use of Level Based Weight Assessment (LBWA) for Evaluating Public Participation on the Example of Rural Municipalities in the Region of Warmia and Mazury K. Pawlewicz & I. Cieślak https://doi.org/10.3390/su142013612
210. Anthropogenic Activities Dominate Vegetation Improvement in Arid Areas of China Y. Guo et al. https://doi.org/10.3390/rs17152634
211. Flood Hazards Mapping by Linking CF, AHP, and Fuzzy Logic Techniques in Urban Areas M. Shaikh et al. https://doi.org/10.1061/NHREFO.NHENG-1716
212. The Ecological Sensitivity of Traditional Villages Based on Multi-Source Data and Spatial Mechanisms: A Comparative Study of Typical Provinces in China X. Jiang et al. https://doi.org/10.3390/su17209221
213. Unraveling Socio-Ecological Inequities in Outer London: Cluster-Based Resilience Planning Q. Mao & M. Chen https://doi.org/10.3390/land14122303
214. Temporal and spatial changes of biodiversity in Caverns of Heaven and Places of Blessing, Zhejiang Province, China from 1990 to 2020 Y. Zhu et al. https://doi.org/10.3897/natureconservation.48.76273
215. Winter–Spring Prediction of Snow Avalanche Susceptibility Using Optimisation Multi-Source Heterogeneous Factors in the Western Tianshan Mountains, China J. Yang et al. https://doi.org/10.3390/rs14061340
216. Agricultural land suitability analysis in Manipur, India using GIS and AHP L. Baite et al. https://doi.org/10.14712/23361980.2024.6
217. Comparative study on the potential distribution of Simulium equinum (Diptera: Simuliidae) on the Tibetan Plateau under climate change based on predictive ecological models Y. Liu et al. https://doi.org/10.1093/jme/tjaf149
218. Enhancing landslide susceptibility mapping in the Himalayas: geospatial and machine learning with explainable AI (XAI) M. Utthasini et al. https://doi.org/10.1016/j.gr.2025.08.003
219. Addressing loss & damage: climate risks and flood impacts in Assam’s Eastern Himalayas S. Vyas et al. https://doi.org/10.1007/s10113-026-02535-9
220. Assessing sediment connectivity and its spatial response on land use using two flow direction algorithms in the catchment on the Chinese Loess Plateau X. Yan et al. https://doi.org/10.1007/s11629-021-6936-7
221. Bike-sharing systems rebalancing considering redistribution proportions: A user-based repositioning approach Y. Zhang et al. https://doi.org/10.1016/j.physa.2022.128409
222. Spatial prediction of groundwater potential and driving factor analysis based on deep learning and geographical detector in an arid endorheic basin Z. Wang et al. https://doi.org/10.1016/j.ecolind.2022.109256
223. A novel method based on deep learning model for national-scale landslide hazard assessment R. Yuan & J. Chen https://doi.org/10.1007/s10346-023-02101-y
224. Evaluation of ecological suitability and quality of wild Eleutherococcus senticosus in Liaoning, China J. Xue et al. https://doi.org/10.3389/fpls.2026.1849106
225. Climate Disasters, Armed Conflict, and Forced Displacement: A 23‐Year Spatial Analysis in Colombia J. Gelvez & L. Bauer https://doi.org/10.1111/ssqu.70053
226. Exploring variations in the influence of various factors on fatal/non-fatal crash outcomes of novice driver involved crashes across diverse urban environments: Insights from partially topic-constrained modeling approach Z. Sun et al. https://doi.org/10.1016/j.aap.2026.108498
227. Fusing Historical Records and Physics-Informed Priors for Urban Waterlogging Susceptibility Assessment: A Framework Integrating Machine Learning, Fuzzy Evaluation, and Decision Analysis G. Chen et al. https://doi.org/10.3390/app151910604
228. Digital reconstruction and representation of the Sino-Korean Tribute Routes using Geographic Information Systems L. Gong et al. https://doi.org/10.1038/s40494-025-01689-9
229. Landslide susceptibility mapping for the Black Sea Region with spatial fuzzy multi-criteria decision analysis under semi-humid and humid terrestrial ecosystems İ. Turan et al. https://doi.org/10.1007/s00704-020-03126-2
230. Measuring Perceived Psychological Stress in Urban Built Environments Using Google Street View and Deep Learning X. Han et al. https://doi.org/10.3389/fpubh.2022.891736
231. Ecosystem services balance and its influencing factors detection in China: A case study in Chengdu-Chongqing urban agglomerations T. Luo et al. https://doi.org/10.1016/j.ecolind.2023.110330
232. Environmental Performance Evaluation of Key Polluting Industries in China—Taking the Power Industry as an Example Z. Liu et al. https://doi.org/10.3390/ijerph19127295
233. A method for planning cycling networks in traditional village contiguous areas using Wi-Fi probe-based attractiveness evaluation S. Liu et al. https://doi.org/10.1038/s41598-026-36085-1
234. County incidence and geospatial trends of early-onset hypertensive disorders of pregnancy in Kentucky, 2008-2017 C. Walker et al. https://doi.org/10.1186/s12884-023-05699-y
235. Mapping the future of urban agriculture: A GIS-based spatial framework for food equity M. Kamali et al. https://doi.org/10.1016/j.scs.2025.106786
236. Identifying the Spatial Heterogeneity and Driving Factors of Satellite-Based and Hydrologically Modeled Profile Soil Moisture H. Yang et al. https://doi.org/10.3390/rs16030448
237. A hybrid deep learning method for landslide susceptibility analysis with the application of InSAR data R. Yuan & J. Chen https://doi.org/10.1007/s11069-022-05430-8
238. Spatial epidemiology of COVID-19 infection through the first outbreak in the city of Mashhad, Iran H. Mansouritorghabeh et al. https://doi.org/10.1007/s41324-022-00454-5
239. Geo-Visualisation of COVID-19 Pandemic and Vaccination in Nigeria: a Regional Approach O. Odunsi et al. https://doi.org/10.1007/s41651-023-00159-9
240. Observations on the Frequency, Duration, and Geographical Extent of Summertime Cold-Front Activity in the Southeastern USA: 1973–2020 T. Mitchell et al. https://doi.org/10.3390/meteorology1020014
241. Machine learning-based debris flow susceptibility and risk index mapping in Quang Nam Province, Vietnam N. Luat et al. https://doi.org/10.13168/AGG.2026.0020
242. Post-Fire Forest Ecological Quality Recovery Driven by Topographic Variation in Complex Plateau Regions: A 2006–2020 Landsat RSEI Time-Series Analysis J. Gao et al. https://doi.org/10.3390/f16030502
243. Bridging World Heritage and Local Heritage: Incorporating the Buffer Zone Concept into Chinese Architectural Heritage Protection Y. Cao et al. https://doi.org/10.3390/buildings15203652
244. GIS-based DRASTIC modeling for aquifer contamination vulnerability in data-scarce regions B. Boanha & I. Mucusse https://doi.org/10.1016/j.nexres.2026.102130
245. Comprehensive Vulnerability Assessment of Urban Areas Using an Integration of Fuzzy Logic Functions: Case Study of Nasiriyah City in South Iraq S. Hanoon et al. https://doi.org/10.3390/earth3020040
246. Unusual holopelagic Sargassum mass beaching in Northwest Africa: Morphotypes, chemical composition, and potential valorisation N. Bousso et al. https://doi.org/10.1016/j.scitotenv.2024.177018
247. Integrated Diagnosis of Water Environment Security and Restoration Priorities in the Dongting Lake Basin, 2000–2020 Z. Luo et al. https://doi.org/10.3390/su17167183
248. Constructing the Quality Measurement Model of Street Space and Its Application in the Old Town in Wuhan T. Wan et al. https://doi.org/10.3389/fpubh.2022.816317
249. Determination of future gully erosion risk and its spatially quantitative interpretability of driving factors in regional scale using machine learning algorithms X. Liu et al. https://doi.org/10.1016/j.geoderma.2025.117396
250. Validation of water main failure predictions: A 2‐year case study C. Kahn et al. https://doi.org/10.1002/aws2.1179
251. The assessment of land suitability for urban development in the anticipated rapid urbanization area from the Belt and Road Initiative: A case study of Nong Khai City, Thailand S. Bamrungkhul & T. Tanaka https://doi.org/10.1016/j.scs.2022.103988
252. Temporal and Spatial Variation (2001–2020) Characteristics of Wind Speed in the Water Erosion Area of the Typical Black Soil Region, Northeast China L. Pei et al. https://doi.org/10.3390/ijerph191710473
253. Geospatial epidemiology of hospitalized patients with a positive influenza assay: A nationwide study in Iran, 2016–2018 S. MohammadEbrahimi et al. https://doi.org/10.1371/journal.pone.0278900
254. Channel morphology in an active volcanic complex under humid tropical conditions S. Granados-Bolaños & N. Surian https://doi.org/10.1016/j.geomorph.2025.109689
255. Differentiation of the Female Population Structure in Municipalities of the Siberian Federal District E. Musin https://doi.org/10.19181/demis.2026.6.1.8
256. Environmental gradients explain nearshore microplastic distribution patterns: insights from machine learning models J. Li et al. https://doi.org/10.1038/s44454-026-00028-2
257. Assessing inter-model agreement in convection-permitting simulations of extreme winds for wind energy applications N. Correa-Sánchez et al. https://doi.org/10.5194/wes-11-2961-2026
258. Hotspots of peatland-derived potable water use identified by global analysis J. Xu et al. https://doi.org/10.1038/s41893-018-0064-6
259. Spatio-Temporal Assessment of Groundwater Potential Zone in the Drought-Prone Area of Bangladesh Using GIS-Based Bivariate Models N. Ahmed et al. https://doi.org/10.1007/s11053-021-09870-0
260. Variation in the costs and ecological benefits of tropical natural forest regeneration J. Li et al. https://doi.org/10.1038/s41559-026-03154-7
261. Comparative analysis of HEC-HMS and SWAT hydrological models for simulating the streamflow in sub-humid tropical region in India C. Prakash et al. https://doi.org/10.1007/s11356-024-33861-2
262. Flood risk assessment of urban cultural heritage based on PSR conceptual model with game theory and cloud model – A case study of Nanjing L. Fu et al. https://doi.org/10.1016/j.culher.2022.09.017
263. A Sensor-Based Simulation Method for Spatiotemporal Event Detection Y. Jiang et al. https://doi.org/10.3390/ijgi13050141
264. The Role of Socioeconomic and Female Indicators on Infant Mortality in West Nusa Tenggara: A Panel VECM Analysis R. Arini et al. https://doi.org/10.20473/jde.v9i1.53416
265. Enhancing Landsat image based aboveground biomass estimation of black locust with scale bias-corrected LiDAR AGB map and stratified sampling S. Qin et al. https://doi.org/10.1080/10095020.2023.2249042
266. Clustering Method for Edge and Inner Buildings Based on DGI Model and Graph Traversal H. Huang & Y. Zhang https://doi.org/10.3390/ijgi14060222
267. Assessing agricultural managed aquifer recharge (Ag-MAR) for groundwater depletion mitigation in irrigated agricultural zones Y. Song et al. https://doi.org/10.1016/j.agwat.2025.109882
268. A Fuzzy Rule-Based GIS Framework to Partition an Urban System Based on Characteristics of Urban Greenery in Relation to the Urban Context B. Cardone & F. Di Martino https://doi.org/10.3390/app10248781
269. Dynamic analysis of correlation patterns between urban population and construction land at different administrative levels: The case of Hangzhou megacity S. Xiang et al. https://doi.org/10.1016/j.ecolind.2023.110407
270. A multi-criteria spatial approach for mapping urban ecosystem services demand F. Li et al. https://doi.org/10.1016/j.ecolind.2020.106119
271. Climatology and Trends in Hourly Precipitation for the Southeast United States V. Brown et al. https://doi.org/10.1175/JHM-D-19-0004.1
272. Landslide susceptibility mapping using artificial neural network tuned by metaheuristic algorithms M. Mehrabi & H. Moayedi https://doi.org/10.1007/s12665-021-10098-7
273. Development and Application of a Coastal Disaster Resilience Measurement Model for Climate Change Adaptation: Focusing on Coastal Erosion Cases S. Kang & M. Lee https://doi.org/10.7837/kosomes.2023.29.7.713
274. Evaluation of urban flood resilience and its Space-Time Evolution: A case study of Zhejiang Province, China F. Cao et al. https://doi.org/10.1016/j.ecolind.2023.110643
275. Assessing gully erosion susceptibility and headcuts advancement rates in Wanli coalfield in Ordos, China P. Li et al. https://doi.org/10.1016/j.catena.2025.109259
276. Predicting global distribution of the giant kelp Macrocystis pyrifera under climate warming S. Ruan et al. https://doi.org/10.1007/s00343-025-5055-7
277. Meta ensemble learning in geospatial sentiment analysis and community survey mapping: a water supply case study M. Vahidnia https://doi.org/10.1007/s12145-024-01345-z
278. Hydrological and landscape dynamics of floodplain wetlands of the Diara region, Eastern India K. Mukherjee & S. Pal https://doi.org/10.1016/j.ecolind.2020.106961
279. Uneven spatial patterns and disparate socioeconomic impacts of intercity labor mobility in China X. Gu & X. Liu https://doi.org/10.1007/s00168-025-01382-6
280. Application of explainable artificial intelligence to decode water-induced soil erosion in Lidder watershed of the Greater Himalayas S. Majid et al. https://doi.org/10.1007/s00477-025-03042-9
281. Application of an improved multifractal detrended fluctuation analysis approach for estimation of the complexity of daily precipitation L. Zhang et al. https://doi.org/10.1002/joc.7092
282. Habitat suitability assessment for the Great Bustard Otis tarda tarda in Tacheng Basin, western China Y. Zhuo et al. https://doi.org/10.1016/j.gecco.2021.e01926
283. Assessing Urban Street Vitality Through Visual and Auditory Perception: Y. Xu & X. Ma https://doi.org/10.14246/irspsd.12.4_57
284. Integrating MaxEnt and PLUS for Predictive Modeling of Mangrove Suitability and Land Use Impacts in Coastal Guangdong, China Z. Liang et al. https://doi.org/10.1002/ece3.72561
285. Spatiotemporal simulation of suitable habitats for crested ibis in Huzhou city under climate change J. Shi et al. https://doi.org/10.1080/27669645.2025.2555071
286. Optimization of resource management in vulnerable areas within the interconnected framework of ecosystem services supply and demand Y. Liu et al. https://doi.org/10.1016/j.ecolind.2025.113235
287. An adaptive and interpretable case grouping framework for healthcare payment systems G. Cai et al. https://doi.org/10.1186/s12939-026-02813-2
288. Muti-indicator integrated assessment of coastal erosion vulnerablity in the Abandoned Yellow River Delta using geospatial approaches Z. Zhang et al. https://doi.org/10.3389/fmars.2025.1540760
289. Evolvement rules of basin flood risk under low-carbon mode. Part II: risk assessment of flood disaster under different land use patterns in the Haihe basin F. Li et al. https://doi.org/10.1007/s10661-017-6102-4
290. Impact of land use/land cover on land surface temperature and its relationship with spectral indices in Dakahlia Governorate, Egypt S. MORSY & M. HADI https://doi.org/10.26833/ijeg.978961
291. Enclosed Karst Depression Identification and Analysis for the Pumped Storage Power Station Reservoir Construction Using DEM Y. Bo et al. https://doi.org/10.1155/2023/4794665
292. Evaluation of Microbial Contamination of the Mist Intended for Inhalation in a Brine Graduation Tower S. Bodziacki et al. https://doi.org/10.2478/eces-2024-0032
293. Influence of Environmental Factors on the Site Selection and Layout of Ancient Military Towns (Zhejiang Region) L. Tan et al. https://doi.org/10.3390/su14052572
294. Leveraging Semi-Supervised Learning and Meta-Learning for Re-Identification in Few-Shot Spatiotemporal Anomaly Detection Z. Zhou et al. https://doi.org/10.1109/TNNLS.2025.3578642
295. Diversification of Rural Development in Poland: Considerations in the Context of Sustainable Development N. Bartkowiak-Bakun https://doi.org/10.3390/su17020519
296. Preservation conditions and potential evaluation of the Longmaxi shale gas reservoir in the Changning area, southern Sichuan Basin W. Xie et al. https://doi.org/10.1186/s40562-023-00290-x
297. Application of a Quality-Specific Environmental Risk Index for the Location of Hives in Areas with Different Pollution Impacts D. Signorelli et al. https://doi.org/10.3390/agriculture13050998
298. Predicting fire susceptibility: Integrating environmental factors with knowledge graph and neural network L. Chen et al. https://doi.org/10.1016/j.jag.2025.104898
299. Integrated Assessment of Ecosystem Carbon Storage and Ecological Risk Index Under Multi-Objective Driven Approach: A Case Study of the Karst Ecologically Fragile Area in Guangxi J. Hong et al. https://doi.org/10.70322/ecolciviliz.2026.10011
300. Spatio-Temporal Changes and Habitats of Rare and Endangered Species in Yunnan Province Based on MaxEnt Model Y. Lian et al. https://doi.org/10.3390/land13020240
301. Carbon Budget Accounting of Territorial Space and Planning Response at County/District Level: A Case Study of Wuqing District, Tianjin City L. DAI & C. FENG https://doi.org/10.3724/j.fjyl.202309060401
302. Machine learning-based landslide susceptibility assessment considering spatial heterogeneity: a case study in Yaozhou District, China H. Song et al. https://doi.org/10.1016/j.asr.2026.08.011
303. Spatio-temporal variations in the sensitivity of forests to seasonal precipitation across Europe Y. Wu et al. https://doi.org/10.1016/j.agrformet.2026.111425
304. From Traditional to Electrified Urban Road Networks: The Integration of Fuzzy Analytic Hierarchy Process and GIS as a Tool to Define a Feasibility Index—An Italian Case Study C. Nodari et al. https://doi.org/10.3390/wevj13070116
305. Street view versus remote sensing greenery – comparison of two exposure metrics across urban-rural settings S. Sun et al. https://doi.org/10.1080/10095020.2026.2619315
306. Data-Driven Evolution Analysis and Trend Prediction of Hotspots in Global PPP Research L. Zhao et al. https://doi.org/10.3390/buildings13010206
307. Bayesian Network-Based Landslide Susceptibility Safe Route Assessment in the Face of Uncertain Knowledge and Various Information X. Gao et al. https://doi.org/10.1109/ACCESS.2025.3550572
308. Analysis of Wave Energy Behavior and Its Underlying Reasons in the Gulf of Mexico Based on Computer Animation and Energy Events Concept F. Haces-Fernandez et al. https://doi.org/10.3390/su14084687
309. Postrelease movements of captive-reared adult Atlantic Salmon in two Maine rivers C. Merriam et al. https://doi.org/10.1093/najfmt/vqaf074
310. Improving landslide prediction by computer vision and deep learning B. Guerrero-Rodriguez et al. https://doi.org/10.3233/ICA-230717
311. Geospatial assessment of landslide-prone areas in the southern part of Anambra State, Nigeria using classical statistical models V. Nwazelibe & J. Egbueri https://doi.org/10.1007/s12665-024-11533-1
312. A Matheuristic Framework for Behavioral Segmentation and Mobility Analysis of AIS Trajectories Using Multiple Movement Features F. Wu et al. https://doi.org/10.3390/jmse13122393
313. Deciphering groundwater potential zones using integrated approach of remote sensing, GIS, and AHP in a reservoir-induced seismicity (RIS) region in western India V. Ajaykumar & N. Mondal https://doi.org/10.1007/s12518-025-00636-4
314. Sustainable Development of Transport as a Regional Policy Target for Sustainable Development—A Case Study of Poland M. Ogryzek & A. Wolny-Kucińska https://doi.org/10.3390/ijgi10030132
315. Power grid risk zoning of rainstorm disasters in Anhui Province of China based on the Bayesian Structural Equation Model W. Luo et al. https://doi.org/10.1007/s11069-025-07802-2
316. A GIS-Based Evacuation Route Planning in Flood-Susceptible Area of Siraha Municipality, Nepal G. Parajuli et al. https://doi.org/10.3390/ijgi12070286
317. From Pahad to Maidan: Climate change and socio-economic dynamics of out-migration in the Uttarakhand Himalayas A. Shah & K. Malakar https://doi.org/10.3389/fhumd.2026.1786808
318. A new method to analyze the driving mechanism of flood disaster resilience and its management decision-making D. Liu et al. https://doi.org/10.1016/j.jhydrol.2022.128134
319. Ensemble-Based Methodology to Identify Optimal Personal Mobility Service Areas Using Public Data S. Lee et al. https://doi.org/10.1007/s12205-022-1356-y
320. Suitable habitat prediction and identification of origin of Lanxangia tsao-ko G. He et al. https://doi.org/10.1016/j.compag.2024.109127
321. A New Sentinel-2 Spectral Index for Mapping Hydrilla verticillata in Shallow Freshwater Lakes in Florida, USA A. M et al. https://doi.org/10.3390/rs17111894
322. Impact of land use and land cover change on the landscape pattern and service value of the village ecosystem in the karst desertification control Q. Wang et al. https://doi.org/10.3389/fenvs.2023.1020331
323. Rapid assessment of landslide exposure to elements at risk for decision support in regional landslide forecasting G. Singh et al. https://doi.org/10.1007/s44288-025-00299-z
324. Analyzing the Effects of Rainfall on Urban Traffic-Congestion Bottlenecks Y. Yao et al. https://doi.org/10.1109/JSTARS.2020.2966591
325. Can consumer big data reveal often-overlooked urban poverty? Evidence from Guangzhou, China Q. Wu et al. https://doi.org/10.1016/j.compenvurbsys.2024.102158
326. Potencjał chłodzący terenów zieleni na przykładzie parków miejskich Poznania i Wrocławia D. Łowicki & E. Kuklińska https://doi.org/10.14746/rrpr.2025.73.15
327. An improved spatio-temporal clustering method for extracting fire footprints based on MCD64A1 in the Daxing’anling Area of north-eastern China H. Su et al. https://doi.org/10.1071/WF22198
328. Spatial mapping of gully erosion susceptibility using an efficient metaheuristic neural network M. Mehrabi et al. https://doi.org/10.1007/s12665-023-11106-8
329. Towards inclusive urbanism: An examination of urban environment strategies for enhancing social equity in Chengdu's housing zones L. Ouyang et al. https://doi.org/10.1016/j.scs.2024.105414
330. Predicting the Potential Distribution of Amyelois transitella (Walker) in China Under Climate Change Using a Biomod2-Based Ensemble Model S. Li et al. https://doi.org/10.3390/insects17040364
331. Analyzing the determinant factors of spatial groundwater availability in the Akaki catchment, Central Ethiopia G. Nigussie et al. https://doi.org/10.1080/27658511.2025.2464392
332. High-resolution remote sensing data can predict household poverty in pastoral areas, Inner Mongolia, China P. Han et al. https://doi.org/10.1016/j.geosus.2021.10.002
333. Enhancing wind erosion hazard assessment: a novel framework combining integrated land susceptibility to wind erosion (ILSWE) index and machine learning algorithms (case study: Saravan area, Southeast Iran) M. Mohammadi et al. https://doi.org/10.1016/j.aeolia.2025.100995
334. Influence of seasonal vegetation dynamics on hydrological connectivity in tropical drylands J. Souza & J. Hooke https://doi.org/10.1002/hyp.14427
335. How to integrate the soundscape resource into landscape planning? A perspective from ecosystem services Z. Chen et al. https://doi.org/10.1016/j.ecolind.2022.109156
336. A SDGs-oriented evaluation of the ecological sustainability of international horticultural exposition sites in Chengdu, China B. Huang et al. https://doi.org/10.3846/jeelm.2025.22941