Generalized Dasymetric Mapping Algorithm for Accessing Land-Use Change

  • Antonio Manuel RodriguesEmail author
  • Jose Antonio Tenedorio
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9157)


The use of multivariate micro-data, data aggregated for small-areas, allows detailed analysis of the physical and social structures of regional landscapes. Such exercises are in many cases univariate and static in nature; this happens when geometries are not coincident between datasets. Common solutions to such inconsistencies involve the use of areal interpolation techniques to build coherent information sets; when ancillary information is available, dasymetric mapping using control units may then be used. Techniques vary on the type and quality of the ancillary (or control) information. The purpose of the present article is to present a generalized tool to tackle common practical analytical problems and which produces geometrically coherent datasets. It is generalised because: (1) it is flexible, allowing distinct parametrization depending on the data; (2) it is based on Open Source tools anchored on robust database management systems (DBMS) technologies. Its aim is to provide the regular GIS user with a tool to tackle a common problem of geometric mismatch.


Dasymetric mapping Computational statistics FOSS Database Management Systems 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Antonio Manuel Rodrigues
    • 1
    Email author
  • Jose Antonio Tenedorio
    • 1
  1. 1.CICS.NOVA Interdisciplinary Centre of Social Sciences Faculdade de Cincias Sociais E HumanasUniversidade Nova de LisboaLisbonPortugal

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