GeoDa Web - Enhancing Web-based mapping with spatial analytics

Xun Li, Luc Anselin, Julia Koschinsky

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish (US)
Title of host publicationGIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
PublisherAssociation for Computing Machinery
Volume03-06-November-2015
ISBN (Print)9781450339674
DOIs
StatePublished - Nov 3 2015
Event23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2015 - Seattle, United States
Duration: Nov 3 2015Nov 6 2015

Other

Other23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2015
CountryUnited States
CitySeattle
Period11/3/1511/6/15

Fingerprint

Web-based
spatial data
Spatial Data
spatial analysis
Geographic information systems
Python
Spatial Analysis
Social Media
GIS
Leverage
software
Integrate
Software
Alternatives

Keywords

  • CyberGIS
  • Exploratory spatial data analysis
  • Spatial analytics
  • Spatial regression
  • Web mapping

ASJC Scopus subject areas

  • Earth-Surface Processes
  • Computer Science Applications
  • Modeling and Simulation
  • Computer Graphics and Computer-Aided Design
  • Information Systems

Cite this

Li, X., Anselin, L., & Koschinsky, J. (2015). GeoDa Web - Enhancing Web-based mapping with spatial analytics. In GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems (Vol. 03-06-November-2015). [a94] Association for Computing Machinery. https://doi.org/10.1145/2820783.2820792

GeoDa Web - Enhancing Web-based mapping with spatial analytics. / Li, Xun; Anselin, Luc; Koschinsky, Julia.

GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems. Vol. 03-06-November-2015 Association for Computing Machinery, 2015. a94.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Li, X, Anselin, L & Koschinsky, J 2015, GeoDa Web - Enhancing Web-based mapping with spatial analytics. in GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems. vol. 03-06-November-2015, a94, Association for Computing Machinery, 23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2015, Seattle, United States, 11/3/15. https://doi.org/10.1145/2820783.2820792
Li X, Anselin L, Koschinsky J. GeoDa Web - Enhancing Web-based mapping with spatial analytics. In GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems. Vol. 03-06-November-2015. Association for Computing Machinery. 2015. a94 https://doi.org/10.1145/2820783.2820792
Li, Xun ; Anselin, Luc ; Koschinsky, Julia. / GeoDa Web - Enhancing Web-based mapping with spatial analytics. GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems. Vol. 03-06-November-2015 Association for Computing Machinery, 2015.
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