Free and Open Source Software for Geomatics Conference FOSS4G 2010 Barcelona

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Title

FOS GIS AND FOS SIMULATION: FREE OPEN SOURCE ANALYSIS AND SIMULATION OF HOUSING MARKETS

Abstract

When it comes to usability and functional range free open-source geographic information systems have reached a degree of maturity in the last decade that makes them a competitive alternative to proprietary GIS-systems. Similar software capabilities and usability of FOS GIS, no software license fees and direct access to the source code compared against high acquisition and maintenance costs of commercial GIS-systems make FOS-GIS systems an obvious choice for GIS-based housing market analysis.

This contribution analyses spatial trends and distribution patterns of a exemplary german housing market (city of Potsdam) , using geostatistical methods implemented in free open-source geoinformation systems (FOS-GIS), furthermore techniques of agent based modeling are applied to simulate future behavior in urban land use in general and the housing market in specific. To put together a spatially differentiated picture of the housing market, methods as spatial interpolation techniques and spatial declustering are applied using FOS-GIS software systems . The analysis presented here is based on a representative sample of recent housing market data from 2009. The study provides a basis for discussion of a generic approach to housing market analysis and simulation based on free open-source geoinformation and simulation systems. The proposed process chain was implemented with the FOS-GIS systems SAGA GIS, OpenJUMP, Quantum GIS and GRASS GIS and with the agent-based simulation system UrbanSim. Following crucial question should be answered and discussed by applying the addressed FOS-GIS and simulation systems: Can an (efficient?) FOS-GIS processing of free open-source geoinformation systems provide a basis for further simulation and prognosis in a agent based simulation framework? As answer this questions preliminary results of software-based simulation, applying the GPL – licenced open source simulation model UrbanSIM are presented.

 

 

 

 

 

Authors

Harald Schernthanner - Geography department
Lucia Tyralov√° - Geography department