Spatial Analysis

    Publikation: Working/Discussion PaperWU Working Paper

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    This article views spatial analysis as a research paradigm that provides a unique set of specialised
    techniques and models for a wide range of research questions in which the prime variables of interest
    vary significantly over space. The heartland of spatial analysis is concerned with the analysis and
    modeling of spatial data. Spatial point patterns and area referenced data represent the most appropriate
    perspectives for applications in the social sciences. The researcher analysing and modeling spatial data
    tends to be confronted with a series of problems such as the data quality problem, the ecological
    fallacy problem, the modifiable areal unit problem, boundary and frame effects, and the spatial
    dependence problem. The problem of spatial dependence is at the core of modern spatial analysis and
    requires the use of specialised techniques and models in the data analysis. The discussion focuses on
    exploratory techniques and model-driven [confirmatory] modes of analysing spatial point patterns and
    area data. In closing, prospects are given towards a new style of data-driven spatial analysis
    characterized by computational intelligence techniques such as evolutionary computation and neural
    network modeling to meet the challenges of huge quantities of spatial data characteristic in remote
    sensing, geodemographics and marketing. (author's abstract)
    HerausgeberWU Vienna University of Economics and Business
    PublikationsstatusVeröffentlicht - 1 März 1999


    ReiheDiscussion Papers of the Institute for Economic Geography and GIScience

    WU Working Paper Reihe

    • Discussion Papers of the Institute for Economic Geography and GIScience