Advertisement

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)

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.

Keywords

Dasymetric mapping Computational statistics FOSS Database Management Systems 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Freedman, D.A.: Ecological Inference. In: Smelser, E.I.C.A.N.J., Baltes, P.B. (eds.) International Encyclopedia of the Social & Behavioral Sciences, pp. 4027–4030. Oxford, Pergamon (2001). http://www.sciencedirect.com/science/article/pii/B0080430767004101
  2. 2.
    Goodchild, M.F., Anselin, L., Deichmann, U.: A framework for the areal interpolation of socioeconomic data. Environment and Planning A 25(3), 383–397 (1993)CrossRefGoogle Scholar
  3. 3.
    Mennis, J.: Generating Surface Models of Population Using Dasymetric Mapping. The Professional Geographer 55(1), 31–42 (2003)Google Scholar
  4. 4.
    Rodrigues, A.M., Neves, B., Rebelo, C.: Terra Communis (tComm): A free data provider for historical census micro-data. In: Proceedings of the VII Jornadas de SIG Libre. SIGTE - Servei de Sistemes d’informció Geográfica i Teledetecció, Girona (2013). http://www.sigte.udg.edu/jornadassiglibre2013/uploads/articulos_13/a9.pdf
  5. 5.
    Rodrigues, A.M., Rebelo, C., Tenedório, J.A.: Dasymetric mapping using volumetric information from UAV low-cost flights. In: ECTQG 2013 - European Colloquium of Theoretical and Quantitative Geography, Dourdan, pp. 197–198 (2013)Google Scholar
  6. 6.
    Rodrigues, A.M., Rebelo, C., Tenedório, J.A.: Dasymetric Mapping using 3D information: Sensitivity Analysis of UAV high resolution data in submission (2015)Google Scholar
  7. 7.
    Rodrigues, A.M., Santos, T., de Deus, R.F., Pimentel, D.: Land-use dynamics at the micro level: constructing and analyzing historical datasets for the portuguese census tracts. In: Murgante, B., Gervasi, O., Misra, S., Nedjah, N., Rocha, A.M.A.C., Taniar, D., Apduhan, B.O. (eds.) ICCSA 2012, Part II. LNCS, vol. 7334, pp. 565–577. Springer, Heidelberg (2012). http://link.springer.com/chapter/10.1007/978-3-642-31075-1_42 CrossRefGoogle Scholar
  8. 8.
    Rodrigues, A.M., Santos, T., Pimentel, D.: Asymmetrical mapping based on control zones: the construction of historical databases for the tomar local council. In: Sousa, F., Grilo, L., Grilo, H., Henriques-Rodrigues, L. (eds.) XIX Jornadas de Classificacao e Analise de Dados (JOCLAD 2012). Livro de Resumos, Tomar, pp. 159–163 (2012). http://www.fcsh.unl.pt/e-geo/sites/default/files/dl/
  9. 9.
    Rodrigues, A.M., Santos, T., Pimentel, D.: Socio-economic dynamics within a middle-size municipality: testing the strengths of historical micro-datasets. In: Gestão Integrada de Territórios Intermunicipais: o Papel dos Sistemas de Informaçãao Geográfica. 7as Jornadas de Gestão do Território - Livro de resumos. Tomar (2012). http://www.fcsh.unl.pt/e-geo/sites/default/files/dl/
  10. 10.
    Santos, M.: Espaço e Método, 4th edn. Espaços, Nobel (1997)Google Scholar
  11. 11.
    Tenedório, J.A., Rebelo, C., Estanqueiro, R., Henriques, C.D., Marques, L., Gonçalves, J.A.: New developments in geographical information technology for urban and spatial planning. In: Technologies for Urban and Spatial Planning: Virtual Cities and Territories, chap. 10, IGI Global, pp. 196–227 (2013). http://www.igi-global.com/chapter/new-developments-in-geographical-information-technology-for-urban-and-spatial-planning/104217

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

Personalised recommendations