Generalized dasymetric mapping algorithm for Accessing Land-Use change

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationComputational Science and its Applications - ICCSA 2015 - 15th International Conference, Proceedings
PublisherSpringer-Verlag
Pages345-355
Number of pages11
Volume9157
ISBN (Print)9783319214696
DOIs
Publication statusPublished - 2015
Event15th International Conference on Computational Science and its Applications, ICCSA 2015 - Banff, Canada
Duration: 22 Jun 201525 Jun 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9157
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference15th International Conference on Computational Science and its Applications, ICCSA 2015
CountryCanada
CityBanff
Period22/06/1525/06/15

Keywords

  • Computational statistics
  • Dasymetric mapping
  • Database Management Systems
  • FOSS

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