Statistical analysis for spatial land use data

A prerequisite to the development of realistic models of land use change is the identification of the most important drivers of change. This tool gives an investigator a possibility to summarize the knowledge about interdependent spatial processes in the GIS lattice. Let alone, such a summary can help to draw substantive conclusions about the region under study.

This software provides means to perform exploratory statistical analysis for the non-temporal spatial data. The goal is to deduce conditions associated with the level of the response in different areas of the studied region. The data should be compiled for the census areas, defined by the regional administrative division. Additionally, the tool allows estimating accuracy of the approximation by a statistical model to the higher resolution data, defined on the GIS lattice. Software is supplied in several packages.

How the tool works

The regional data is summarized by a multiple regression model with the unknown joint distribution of error terms. Hypothesis testing for model evaluation is done by the permutations method. Confidence intervals for regression estimates are constructed using bootstrapping approach. Accuracy of model approximation to the GIS lattice is assessed in every cell and summarized by statistics from the derived sample of accuracy values. Additionally, approximation accuracy can be estimated for a cluster of cells in the GIS lattice.


Packages: lu-preprocessing-1.0.0-standalone.jar





Version: 1.0.0

Source code:

Example data: example

Manuals: Introduction to Exploratory Spatial Analysis

               Permutation Hypothesis Testing and Bootstrapping

               Testing Spatial Autocorrelation with the Bootstrap 


This work received support from the EU FP7 project COMPLEX (grant no. 308601)

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Last edited: 15 January 2018


Anna Shchiptsova

Research Scholar

Ecosystems Services and Management

T +43(0) 2236 807 514


Shchiptsova A, Hewitt R, & Rovenskaya E (2016). Exploratory Spatial Analysis of Regional Urbanization Patterns in the Province of Seville, Spain. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-16-016


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