EXPLORATORY SPATIAL ANALYSIS OF HOUSING PRICES OBTAINED FROM WEB SCRAPING TECHNIQUE

8 citations as recorded by crossref.

1. GIS-analysis of housing construction during the period of international sanctions against Russia based on data from DOM.RF (using the example of the St. Petersburg metropolitan area) I. Logvinov et al. https://doi.org/10.35595/2414-9179-2025-3-31-142-157
2. Creation of a dataset for the study of spatial and temporal dynamics of housing construction based on state information system of housing and communal services data and remote sensing data: principles, tools, results I. Logvinov et al. https://doi.org/10.35595/2414-9179-2024-2-30-498-515
3. Housing price indices from online listing data: Addressing the spatial bias with sampling weights E. Lopez Ochoa https://doi.org/10.1177/23998083221130713
4. Computation of High-Frequency Sub-National Spatial Consumer Price Indexes Using Web Scraping Techniques I. Benedetti et al. https://doi.org/10.3390/economies10040095
5. Predictive Analysis Using Web Scraping for the Real Estate Market in Gaziantep A. ÜZÜMCÜ & N. ELİGÜZEL https://doi.org/10.17798/bitlisfen.1155725
6. Komşu Mahallelerdeki Konut Fiyat Farklılıklarının Mekansal Analizlerle İncelenmesi: Ankara Çankaya İlçesi Örneği A. Gülnerman Gengeç & T. Memişoğlu Baykal https://doi.org/10.48123/rsgis.1731127
7. Explainable AI for Urban Real-Estate Prediction: A Machine-Learning Framework for Urban Decision Support V. Saiu & M. Mocci https://doi.org/10.3390/urbansci10060315
8. Convolutional Neural Networks as Context-Scraping Tools in Architecture and Urban Planning T. Dzieduszyński https://doi.org/10.5604/01.3001.0015.7566