Abstract Currently our world is facing a migration process of a huge dimension – from rural to urban areas. In 1975 37.7% of the global population were urban dwellers, 1990 already 43%, today little over 50%, and in 2050 the expected number is 67.2%. This great process shapes new spatial urban landscapes, in dimension and pattern. In this study we aim at analyzing the spatial evolution of a once polynuclei urban area to a mega-region in a 35 years time frame. Using multi-temporal and multi-source satellite data we classify urban footprints of a mega-region – the Hong Kong–Shenzhen–Guangzhou mega-region in Southern China – for the years 1975, 1990, 2000 and 2011. Based on this geospatial data set we aim at turning the qualitative and fuzzy definitions of mega-regions into a physical concept. Furthermore, we suggest a set of spatial features potentially characteristic for the evolution of mega-regions. In particular we apply and develop a multiude of spatial metrics at three spatial levels, namely the entire mega-region, the hinterlands between different cities and the cities themselves. The result is a novel spatial approach to capture, measure and analyze new shapes of urban landscapes.
%0 Journal Article
%1 Taubenböck2014137
%A Taubenböck, H.
%A Wiesner, M.
%A Felbier, A.
%A Marconcini, M.
%A Esch, T.
%A Dech, S.
%D 2014
%J Applied Geography
%K article dech
%P 137 - 153
%R http://dx.doi.org/10.1016/j.apgeog.2013.12.002
%T New dimensions of urban landscapes: The spatio-temporal evolution from a polynuclei area to a mega-region based on remote sensing data
%U http://www.sciencedirect.com/science/article/pii/S0143622813002786
%V 47
%X Abstract Currently our world is facing a migration process of a huge dimension – from rural to urban areas. In 1975 37.7% of the global population were urban dwellers, 1990 already 43%, today little over 50%, and in 2050 the expected number is 67.2%. This great process shapes new spatial urban landscapes, in dimension and pattern. In this study we aim at analyzing the spatial evolution of a once polynuclei urban area to a mega-region in a 35 years time frame. Using multi-temporal and multi-source satellite data we classify urban footprints of a mega-region – the Hong Kong–Shenzhen–Guangzhou mega-region in Southern China – for the years 1975, 1990, 2000 and 2011. Based on this geospatial data set we aim at turning the qualitative and fuzzy definitions of mega-regions into a physical concept. Furthermore, we suggest a set of spatial features potentially characteristic for the evolution of mega-regions. In particular we apply and develop a multiude of spatial metrics at three spatial levels, namely the entire mega-region, the hinterlands between different cities and the cities themselves. The result is a novel spatial approach to capture, measure and analyze new shapes of urban landscapes.
@article{Taubenböck2014137,
abstract = {Abstract Currently our world is facing a migration process of a huge dimension – from rural to urban areas. In 1975 37.7% of the global population were urban dwellers, 1990 already 43%, today little over 50%, and in 2050 the expected number is 67.2%. This great process shapes new spatial urban landscapes, in dimension and pattern. In this study we aim at analyzing the spatial evolution of a once polynuclei urban area to a mega-region in a 35 years time frame. Using multi-temporal and multi-source satellite data we classify urban footprints of a mega-region – the Hong Kong–Shenzhen–Guangzhou mega-region in Southern China – for the years 1975, 1990, 2000 and 2011. Based on this geospatial data set we aim at turning the qualitative and fuzzy definitions of mega-regions into a physical concept. Furthermore, we suggest a set of spatial features potentially characteristic for the evolution of mega-regions. In particular we apply and develop a multiude of spatial metrics at three spatial levels, namely the entire mega-region, the hinterlands between different cities and the cities themselves. The result is a novel spatial approach to capture, measure and analyze new shapes of urban landscapes. },
added-at = {2015-10-04T15:11:09.000+0200},
author = {Taubenböck, H. and Wiesner, M. and Felbier, A. and Marconcini, M. and Esch, T. and Dech, S.},
biburl = {https://www.bibsonomy.org/bibtex/2ac330bb5570906f40ac9af80dfdaa23f/mschramm},
doi = {http://dx.doi.org/10.1016/j.apgeog.2013.12.002},
interhash = {369ce041a2d2d8b5237859f25ef7b988},
intrahash = {ac330bb5570906f40ac9af80dfdaa23f},
issn = {0143-6228},
journal = {Applied Geography },
keywords = {article dech},
pages = {137 - 153},
timestamp = {2015-10-04T15:11:09.000+0200},
title = {New dimensions of urban landscapes: The spatio-temporal evolution from a polynuclei area to a mega-region based on remote sensing data },
url = {http://www.sciencedirect.com/science/article/pii/S0143622813002786},
volume = 47,
year = 2014
}