{"title":"通过智能提取--融合土地适宜性和邻里效应,加强城市蜂窝自动机中的外围增长模拟:中国武汉案例研究","authors":"Qingyang Xu, Xuefeng Guan, Changlan Yang, Weiran Xing, Xiaoyu Chen, Huayi Wu","doi":"10.1080/10095020.2024.2341755","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":48531,"journal":{"name":"Geo-spatial Information Science","volume":null,"pages":null},"PeriodicalIF":4.4000,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing outlying growth simulation in urban cellular automata via intelligent extraction-fusion of land suitability and neighborhood effects: a case study of Wuhan, China\",\"authors\":\"Qingyang Xu, Xuefeng Guan, Changlan Yang, Weiran Xing, Xiaoyu Chen, Huayi Wu\",\"doi\":\"10.1080/10095020.2024.2341755\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":48531,\"journal\":{\"name\":\"Geo-spatial Information Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2024-04-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geo-spatial Information Science\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1080/10095020.2024.2341755\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"REMOTE SENSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geo-spatial Information Science","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1080/10095020.2024.2341755","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"REMOTE SENSING","Score":null,"Total":0}
Enhancing outlying growth simulation in urban cellular automata via intelligent extraction-fusion of land suitability and neighborhood effects: a case study of Wuhan, China
期刊介绍:
Geo-spatial Information Science was founded in 1998 by Wuhan University, and is now published in partnership with Taylor & Francis. The journal publishes high quality research on the application and development of surveying and mapping technology, including photogrammetry, remote sensing, geographical information systems, cartography, engineering surveying, GPS, geodesy, geomatics, geophysics, and other related fields. The journal particularly encourages papers on innovative applications and theories in the fields above, or of an interdisciplinary nature. In addition to serving as a source reference and archive of advancements in these disciplines, Geo-spatial Information Science aims to provide a platform for communication between researchers and professionals concerned with the topics above. The editorial committee of the journal consists of 21 professors and research scientists from different regions and countries, such as America, Germany, Switzerland, Austria, Hong Kong and China.