TY - GEN
T1 - GeoDa Web - Enhancing Web-based mapping with spatial analytics
AU - Li, Xun
AU - Anselin, Luc
AU - Koschinsky, Julia
N1 - Publisher Copyright:
Copyright is held by the owner/authors(s).
PY - 2015/11/3
Y1 - 2015/11/3
N2 - 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.
AB - 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.
KW - CyberGIS
KW - Exploratory spatial data analysis
KW - Spatial analytics
KW - Spatial regression
KW - Web mapping
UR - https://www.scopus.com/pages/publications/84961208258
UR - https://www.scopus.com/pages/publications/84961208258#tab=citedBy
U2 - 10.1145/2820783.2820792
DO - 10.1145/2820783.2820792
M3 - Conference contribution
AN - SCOPUS:84961208258
T3 - GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
BT - 23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2015
A2 - Huang, Yan
A2 - Ali, Mohamed
A2 - Sankaranarayanan, Jagan
A2 - Renz, Matthias
A2 - Gertz, Michael
PB - Association for Computing Machinery
T2 - 23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2015
Y2 - 3 November 2015 through 6 November 2015
ER -