TY - GEN
T1 - Generalized dasymetric mapping algorithm for Accessing Land-Use change
AU - Rodrigues, Antonio Manuel
AU - Tenedorio, Jose Antonio
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - Computational statistics
KW - Dasymetric mapping
KW - Database Management Systems
KW - FOSS
UR - http://www.scopus.com/inward/record.url?scp=84944450593&partnerID=8YFLogxK
UR - https://apps.webofknowledge.com/InboundService.do?customersID=RRC&mode=FullRecord&IsProductCode=Yes&product=WOS&Init=Yes&Func=Frame&DestFail=http%3A%2F%2Fwww.webofknowledge.com&action=retrieve&SrcApp=RRC&SrcAuth=RRC&SID=D3b9C59xGJfu8FBO9CF&UT=WOS%3A000364989000024
U2 - 10.1007/978-3-319-21470-2_24
DO - 10.1007/978-3-319-21470-2_24
M3 - Conference contribution
AN - SCOPUS:84944450593
SN - 9783319214696
VL - 9157
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 345
EP - 355
BT - Computational Science and its Applications - ICCSA 2015 - 15th International Conference, Proceedings
PB - Springer
CY - Cham
T2 - 15th International Conference on Computational Science and its Applications, ICCSA 2015
Y2 - 22 June 2015 through 25 June 2015
ER -
