Geographic Information Science & Technology Body of Knowledge最新文献_第3页

Earth's Shape, Sea Level, and the Geoid 地球的形状、海平面和大地水准面

Geographic Information Science & Technology Body of Knowledge Pub Date : 2021-04-01 DOI: 10.22224/gistbok/2021.2.8

T. Meyer

引用次数: 1

GIS&T and Public Policy gis &公共政策

Geographic Information Science & Technology Body of Knowledge Pub Date : 2021-04-01 DOI: 10.22224/gistbok/2021.2.9

J. Hamerlinck, L. Ramasubramanian

引用次数: 0

Volunteered Geographic Information 志愿地理信息

Geographic Information Science & Technology Body of Knowledge Pub Date : 2021-01-01 DOI: 10.22224/gistbok/2021.1.1

Guiming Zhang

引用次数: 4

Map Reading 地图阅读

Geographic Information Science & Technology Body of Knowledge Pub Date : 2021-01-01 DOI: 10.22224/gistbok/2021.1.8

Aileen R. Buckley, Jon A. Kimerling

引用次数: 0

Cartographic Modeling 地图建模

Geographic Information Science & Technology Body of Knowledge Pub Date : 2021-01-01 DOI: 10.22224/gistbok/2021.1.13

B. Buttenfield, Georgios Charisoulis

引用次数: 3

GIS&T and Libraries, Archives, and Museums 地理信息技术与图书馆、档案馆和博物馆

Geographic Information Science & Technology Body of Knowledge Pub Date : 2020-10-01 DOI: 10.22224/gistbok/2020.4.6

Andrzej Rutkowski

引用次数: 0

An Introduction to Spatial Data Mining 空间数据挖掘导论

Geographic Information Science & Technology Body of Knowledge Pub Date : 2020-10-01 DOI: 10.22224/gistbok/2020.4.5

Jamal Golmohammadi, Yiqun Xie, Jayant Gupta, Majid Farhadloo, Y. Li, Jiannan Cai, Samantha Detor, Abigail Roh, S. Shekhar

{"title":"An Introduction to Spatial Data Mining","authors":"Jamal Golmohammadi, Yiqun Xie, Jayant Gupta, Majid Farhadloo, Y. Li, Jiannan Cai, Samantha Detor, Abigail Roh, S. Shekhar","doi":"10.22224/gistbok/2020.4.5","DOIUrl":"https://doi.org/10.22224/gistbok/2020.4.5","url":null,"abstract":": The goal of spatial data mining is to discover potentially useful, interesting, and non-trivial patterns from spatial data-sets (e.g., GPS trajectory of smartphones). Spatial data mining is societally important having applications in public health, public safety, climate science, etc. For example, in epidemiology, spatial data mining helps to ﬁnd areas with a high concentration of disease incidents to manage disease outbreaks. Computational methods are needed to discover spatial patterns since the volume and velocity of spatial data exceed the ability of human experts to analyze it. Spatial data has unique characteristics like spatial autocorrelation and spatial heterogeneity which violate the i.i.d (Independent and Identically Distributed) assumption of traditional statistic and data mining methods. Therefore, using traditional methods may miss patterns or may yield spurious patterns, which are costly in societal applications. Further, there are additional challenges such as MAUP (Modiﬁable Areal Unit Problem) as illustrated by a recent court case debating gerrymandering in elections. In this article, we discuss tools and computational methods of spatial data mining, focusing on the primary spatial pattern families: hotspot detection, colocation detection, spatial prediction, and spatial outlier detection. Hotspot detection methods use domain information to accurately model more active and high-density areas. Colocation detection methods ﬁnd objects whose instances are in proximity to each other in a location. Spatial prediction approaches explicitly model the neighborhood relationship of locations to predict target variables from input features. Finally, spatial outlier detection methods ﬁnd data that diﬀer from their neighbors. Lastly, we describe future research and trends in spatial data mining.","PeriodicalId":325401,"journal":{"name":"Geographic Information Science & Technology Body of Knowledge","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123004745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Social Media Platforms 社交媒体平台

Geographic Information Science & Technology Body of Knowledge Pub Date : 2020-07-01 DOI: 10.5040/9781509916511.ch-005

X. Gong, Xining Yang

引用次数: 19

Relationships between Space and Time 空间与时间的关系

Geographic Information Science & Technology Body of Knowledge Pub Date : 2020-07-01 DOI: 10.22224/gistbok/2020.3.7

M. Yuan

引用次数: 1

Philosophical Perspectives 哲学的角度

Geographic Information Science & Technology Body of Knowledge Pub Date : 2020-04-01 DOI: 10.22224/gistbok/2020.2.1

Jochen Albrecht

引用次数: 0