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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="3.0" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprs-archives-XLIII-B4-2020-47-2020</article-id>
<title-group>
<article-title>ANALYSIS OF THE STATUS AND TREND OF GIS RESEARCH IN THE PAST TEN YEARS FROM 2010 TO 2019</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hu</surname>
<given-names>K.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Dai</surname>
<given-names>Z.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zheng</surname>
<given-names>J.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wu</surname>
<given-names>H.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi 214122, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>24</day>
<month>08</month>
<year>2020</year>
</pub-date>
<volume>XLIII-B4-2020</volume>
<fpage>47</fpage>
<lpage>53</lpage>
<permissions>
<copyright-statement>Copyright: © 2020 K. Hu et al.</copyright-statement>
<copyright-year>2020</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/isprs-archives-XLIII-B4-2020-47-2020.html">This article is available from https://isprs-archives.copernicus.org/articles/isprs-archives-XLIII-B4-2020-47-2020.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/isprs-archives-XLIII-B4-2020-47-2020.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/isprs-archives-XLIII-B4-2020-47-2020.pdf</self-uri>
<abstract>
<p>To understand the trends in a specific field is always an important issue for researchers in the field. In geographical information science (GIS) field, understanding the trends is also an open question for many researchers. In this paper, we conducted a scientometric analysis based on the selected GIS represented journals, provided by the work (Biljecki 2016). We use the data-driven method stemming from scientometric theories to help readers to obtain a direct impression of the field. Several interesting facts are found. The in-domain and out-domain institution and journals are compared. Structural analysis shows that classical research trend in GIS fields include Landsat, VGI, social sensing, change detection, spatial econometrics, and laser scanning.</p>
</abstract>
<counts><page-count count="7"/></counts>
</article-meta>
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