Techniques for evaluating similarities between categorical maps obtained by different spatial modeling techniques or representing similar space in different time instances are still developing. This paper reviews a current approach for assessing the similarity in land use maps that are used in city planning processes. The performance of recently designed kappa location and kappa histo measures as well as fuzzy set map comparison approach were tested on a case study area that comprises three cities of Belgrade's municipalities with different urban characteristics. By assessing similarities between the land use map of the Master plan designed for the year 2021 and the map representing the currently observed land use conditions, the level of realized planned activities as well as the level of discrepancy from the Master plan could be evaluated.
Keywords:
Kappa statistics / land use map / fuzzy / urban planning
Source:
Gis Ostrava 2013 - Geoinformatics for City Transformation, 2013, 13-23
TY - CONF
AU - Samardžić-Petrović, Mileva
AU - Bajat, Branislav
AU - Kovačević, Miloš
PY - 2013
UR - http://grafar.grf.bg.ac.rs/handle/123456789/533
AB - Techniques for evaluating similarities between categorical maps obtained by different spatial modeling techniques or representing similar space in different time instances are still developing. This paper reviews a current approach for assessing the similarity in land use maps that are used in city planning processes. The performance of recently designed kappa location and kappa histo measures as well as fuzzy set map comparison approach were tested on a case study area that comprises three cities of Belgrade's municipalities with different urban characteristics. By assessing similarities between the land use map of the Master plan designed for the year 2021 and the map representing the currently observed land use conditions, the level of realized planned activities as well as the level of discrepancy from the Master plan could be evaluated.
C3 - Gis Ostrava 2013 - Geoinformatics for City Transformation
T1 - Assesing similarities between planned and observed land use maps: the Belgrade's municipalities case study
EP - 23
SP - 13
ER -
@conference{
author = "Samardžić-Petrović, Mileva and Bajat, Branislav and Kovačević, Miloš",
year = "2013",
url = "http://grafar.grf.bg.ac.rs/handle/123456789/533",
abstract = "Techniques for evaluating similarities between categorical maps obtained by different spatial modeling techniques or representing similar space in different time instances are still developing. This paper reviews a current approach for assessing the similarity in land use maps that are used in city planning processes. The performance of recently designed kappa location and kappa histo measures as well as fuzzy set map comparison approach were tested on a case study area that comprises three cities of Belgrade's municipalities with different urban characteristics. By assessing similarities between the land use map of the Master plan designed for the year 2021 and the map representing the currently observed land use conditions, the level of realized planned activities as well as the level of discrepancy from the Master plan could be evaluated.",
journal = "Gis Ostrava 2013 - Geoinformatics for City Transformation",
title = "Assesing similarities between planned and observed land use maps: the Belgrade's municipalities case study",
pages = "23-13"
}
Samardžić-Petrović, M., Bajat, B.,& Kovačević, M. (2013). Assesing similarities between planned and observed land use maps: the Belgrade's municipalities case study.
Gis Ostrava 2013 - Geoinformatics for City Transformation, 13-23.
Samardžić-Petrović M, Bajat B, Kovačević M. Assesing similarities between planned and observed land use maps: the Belgrade's municipalities case study. Gis Ostrava 2013 - Geoinformatics for City Transformation. 2013;:13-23
Samardžić-Petrović Mileva, Bajat Branislav, Kovačević Miloš, "Assesing similarities between planned and observed land use maps: the Belgrade's municipalities case study" Gis Ostrava 2013 - Geoinformatics for City Transformation (2013):13-23
