000 02701nab a2200313 4500
999 _c11593
_d11593
003 OSt
005 20210331133718.0
007 cr aa aaaaa
008 210331b ||||| |||| 00| 0 eng d
100 _aPatrícia Abrantes
_945588
245 _aModelling urban form: A multidimensional typology of urban occupation for spatial analysis
260 _bSage,
_c2019.
300 _aVol 46, Issue 1, 2019,(47-65 p.)
520 _aconceptual and methodological debate on urban form has grown in the last decades to recognize that social, economic, demographic and political processes can contribute to the development of new urban forms, especially those related to urban sprawl, as well as to find alternative methodologies for measuring them. Spatial metrics derived from landscape ecology arise as principal indicators to measure urban form. This paper proposes a typology of the urban occupation of Portuguese municipalities. It uses land use/cover data from 1990 and 2006 to extract built-up areas, and it presents five spatial metrics alongside seventeen statistical indicators from 1991 to 2011 most commonly used in the literature to characterize urban occupation. It uses a self-organising map as a visual tool to identify trends and relationships among variables and to cluster municipalities. Based on the self-organising map’s visual clustering, six types of urban occupation of Portuguese municipalities are proposed. In addition, the paper discusses the added value of using indicators that describe both the patterns and the characteristics of the municipalities for making spatial planning decisions in Portugal. The observed results show that spatial metrics are particularly adequate for measuring peri-urban municipalities (urban sprawl areas). These results represent the first multidimensional and systematic analysis of Portuguese urban occupation and they can be the first step in the integration of spatial metrics as indicators that are suitable for the analysis of spatial planning, and also for comparative purposes at a broader geographical scale.
650 _aLand use/cover,
_945593
650 _aspatial planning,
_945594
650 _aspatial metrics,
_945595
650 _aself-organising-maps,
_945596
650 _a Portugal
_945597
700 _aAbrantes, Patrícia
_945589
700 _aRocha, Jorge
_945590
700 _aMarques da Costa, Eduarda
_934329
700 _aGomes, Eduardo
_945591
700 _aMorgado, Paulo
_945592
700 _aCosta, Nuno
_931179
773 0 _011590
_915512
_dSage 2019.
_t Environment and Planning B: Urban Analytics and City Science
856 _uhttps://doi.org/10.1177/2399808317700140
942 _2ddc
_cART