4 research outputs found
Planning support systems for fiscally sustainable planning
No full textLocal government's need for accurate assessments and projections of the fiscal consequences of development is well established and persistent. This analysis demonstrates the use of a geographic information science-based planning support system to project residential growth and the fiscal consequences of development. The cornerstone of the analysis is a spatial index of urban form which captures clustering and dispersion of the built environment. A regression model indicates the spatial index to be a statistically significant determinant of expenditures on policing services in the study area. Modeled future growth was spatially and temporally disaggregated to indicate future residential growth at different planning horizons. Spatial indices were calculated for these planning horizons and incorporated into the econometric model for ceteris paribus evaluation of the effect of change in urban form on public service expenditures. Results demonstrate planning informed by PSS modeling has the potential to realize savings on public service expenditures
Introduction to ‘Planning Support Systems for Sustainable Urban Development’
No full textPlanning Support Systems (PSS) are geo-information-technology-based instruments that are dedicated to supporting those involved in planning in the performance of their specific tasks (Batty 1995; Klosterman 1997). The term PSS appeared on the planning scene in the mid-1980s thanks to its progenitor, Britton Harris, although the concept of building instruments dedicated to the support of planning activities dates back much further. In this first introductory chapter a brief demarcation of the concept of PSS will be provided, besides a concise overview of the content of this book on "Planning Support Systems for Sustainable Urban Development"
Geocomputation and open source software: components and software stacks.
No full textGeocomputation, with its necessary focus on software development and methods innovation, has enjoyed a close relationship with free and open source software communities. These extend from communities providing the numerical infrastructure for computation, such as BLAS (Basic Linear Algebra Subprograms),through language communities around Python, Java and others, to communities supporting spatial data handling, especially the projects of the Open Source Geospatial Foundation. This chapter surveys the stack of software components available for geocomputation from these sources, looking in most detail at the R language and environment, and how OSGeo projects have been interfaced with it. In addition, attention will be paid to open development models and community participation in software development. Since free and open source geospatial software has also achieved a successively greater presence in proprietary software as computational platforms evolve, the chapter will close with some indications of future trends in software component stacks, using Terralib as an example.Geocomputation; Open source software
