Work

Linking Spatial Statistics with GIS: Operational Issues in the SpaceStat-ArcView Link and the S+Grassland Link

Year: 1997

Type: article

Abstract: The extension of the functional capacity of geographic information systems (GIS) with tools for exploratory spatial data analysis (ESDA) has been an increasingly active area of research in recent years. In this paper, two operational implementations that link spatial analysis software with a GIS are considered more closely. They consist of a linkage between the SpaceStat software for spatial data analysis and the ArcView GIS (based on socalled loose coupling), and the S+Grassland Link between S-PLUS/SpatialStats and Grassland GIS (based on so-called close coupling). The emphasis is on the implementation of methods of exploratory spatial data analysis to describe spatial distributions, visualize spatial patterns, and assess the presence of spatial association. Conceptual and technical issues related to the implementation of these approaches are addressed and some ideas are formulated on future directions for linking ESDA and GIS.

Source: The Research Repository @ WVU (West Virginia University)

Authors: Shuming Bao, Luc Anselin

Language: English

Topic: Spatial and Panel Data Analysis

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

Open Access status: green

Funders: National Science Foundation, West Virginia University

Award: New Methods for the Exploratory Analysis of Geographical Data

OpenAlex ID: W3132468930

FWCI: 2.143

Cites: 20

Cited by: 4

Related to: 10