International Journal of Geographical Information Systems · 1994 · 107 citations · 12 references
PlanningGeographyUrban PlanningSpatial AnalysisSpatial Data AnalysisSpatial ModelingLocation AnalysisSpatial Data ModelsSpatial Data RepresentationSpatial Data VisualizationSpatial Statistical ModelingUrban Spatial AnalysisCity ModelsData SelectionExploratory Data Analysis InterfacesGeographic Information RepresentationGeographic Information System (Gis) AnalysisGeographic Information Systems (Gis)Geospatial Data SelectionResidential Location
The paper introduces a framework for embedding urban models within GIS, using GIS display capabilities as the user interface for data selection, analysis, model specification, calibration, and prediction. The authors aim to show how stages of the modelling process, implemented in purpose‑built software outside GIS, can be accessed and operated through the GIS, and to outline residential location models and assemble the full framework. They describe using thematic maps, surfaces, graphs, and linked windows for display; selecting and aggregating datasets; performing exploratory spatial data analysis with scatterplots linked to maps; and integrating purpose‑built software to operate these stages within the GIS. The framework is illustrated by applying ARC‑INFO to tract‑level population data in the Buffalo region, demonstrating the described functions and operations.
Abstract This is the first of two papers elaborating a framework for embedding urban models within GIS. This framework is based upon using the display capabilities of GIS as the user interface to the conventional modelling process, beginning with data selection and analysis, moving to model specification and calibration, and thence to prediction. In this paper, we outline how various stages in this process based on purpose-built software outside the system, are accessed and operated through the GIS. We first deal with display based on thematic maps, surfaces, graphs and linked windows, standard to any data from whatever source, be it observations, model estimates or predictions. We then describe how various datasets are selected, how the spatial system can be partitioned or aggregated, and how rudimentary exploratory spatial data analysis enables scatterplots to be associated with thematic maps. We illustrate all these functions and operations using the proprietary GIS ARC-INFO applied to population data at the tract level in the Buffalo region. In the second part of the paper, various residential location models are outlined and the full modelling framework is assembled and demonstrated.
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