{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T10:28:02Z","timestamp":1766485682777,"version":"build-2065373602"},"reference-count":154,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2022,5,12]],"date-time":"2022-05-12T00:00:00Z","timestamp":1652313600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42001394","71904064","41930107","BK20190580","20I03"],"award-info":[{"award-number":["42001394","71904064","41930107","BK20190580","20I03"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42001394","71904064","41930107","BK20190580","20I03"],"award-info":[{"award-number":["42001394","71904064","41930107","BK20190580","20I03"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Natural Science Foundation of China","award":["42001394","71904064","41930107","BK20190580","20I03"],"award-info":[{"award-number":["42001394","71904064","41930107","BK20190580","20I03"]}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["42001394","71904064","41930107","BK20190580","20I03"],"award-info":[{"award-number":["42001394","71904064","41930107","BK20190580","20I03"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Open Research Fund of State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University","award":["42001394","71904064","41930107","BK20190580","20I03"],"award-info":[{"award-number":["42001394","71904064","41930107","BK20190580","20I03"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Spatial autocorrelation describes the interdependent relationship between the realizations or observations of a variable that is distributed across a geographical landscape, which may be divided into different units\/areas according to natural or political boundaries. Researchers of Geographical Information Science (GIS) always consider spatial autocorrelation. However, spatial autocorrelation research covers a wide range of disciplines, not only GIS, but spatial econometrics, ecology, biology, etc. Since spatial autocorrelation relates to multiple disciplines, it is difficult gain a wide breadth of knowledge on all its applications, which is very important for beginners to start their research as well as for experienced scholars to consider new perspectives in their works. Scientometric analyses are conducted in this paper to achieve this end. Specifically, we employ scientometrc indicators and scientometric network mapping techniques to discover influential journals, countries, institutions, and research communities; key topics and papers; and research development and trends. The conclusions are: (1) journals categorized into ecological and biological domains constitute the majority of TOP journals;(2) northern American countries, European countries, Australia, Brazil, and China contribute the most to spatial autocorrelation-related research; (3) eleven research communities consisting of three geographical communities and eight communities of other domains were detected; (4) hot topics include spatial autocorrelation analysis for molecular data, biodiversity, spatial heterogeneity, and variability, and problems that have emerged in the rapid development of China; and (5) spatial statistics-based approaches and more intensive problem-oriented applications are, and still will be, the trend of spatial autocorrelation-related research. We also refine the results from a geographer\u2019s perspective at the end of this paper.<\/jats:p>","DOI":"10.3390\/ijgi11050309","type":"journal-article","created":{"date-parts":[[2022,5,12]],"date-time":"2022-05-12T03:28:43Z","timestamp":1652326123000},"page":"309","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Scientometric Analysis for Spatial Autocorrelation-Related Research from 1991 to 2021"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6035-7640","authenticated-orcid":false,"given":"Qing","family":"Luo","sequence":"first","affiliation":[{"name":"School of Mathematics and Physics, Wuhan Institute of Technology, Wuhan 430205, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3521-4178","authenticated-orcid":false,"given":"Kai","family":"Hu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi 214122, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1528-4224","authenticated-orcid":false,"given":"Wenxuan","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan 430079, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3971-0512","authenticated-orcid":false,"given":"Huayi","family":"Wu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan 430079, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,5,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"234","DOI":"10.2307\/143141","article-title":"A Computer Movie Simulating Urban Growth in the Detroit Region","volume":"46","author":"Tobler","year":"1970","journal-title":"Econ. 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