GeoDa Web - Enhancing Web-Based Mapping with Spatial Analytics

被引:10
|
作者
Li, Xun [1 ]
Anselin, Luc [1 ]
Koschinsky, Julia [1 ]
机构
[1] Arizona State Univ, Sch Geog Sci & Urban Planning, Tempe, AZ 85287 USA
关键词
Spatial analytics; CyberGIS; web mapping; exploratory spatial data analysis; spatial regression; VISUALIZATION;
D O I
10.1145/2820783.2820792
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Cloud mapping platforms, such as Google Maps, CartoDB, MapZen, and the like have become powerful alternatives to traditional desktop-based mapping and GIS applications. However, unlike their desktop counterparts, web mapping platforms typically do not contain any but the most basic spatial analytical functionality. In this paper, we introduce GeoDa-Web, a cloud mapping platform that integrates spatial analytics and web mapping. The platform enables researchers to retrieve spatial data from the cloud, conduct spatial analysis in the cloud, visualize results using cloud mapping, and publish maps and plots to social media in a user-friendly way. It leverages the code base from the widely used GeoDa desktop software for spatial data exploration and the PySAL Python library of spatial analytical functions. We outline the architecture, discuss the implementation and illustrate the functionality of GeoDa-Web.
引用
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页数:4
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