000 | 02701nab a2200313 4500 | ||
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_c11593 _d11593 |
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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. |
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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 |
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650 |
_aspatial planning, _945594 |
||
650 |
_aspatial metrics, _945595 |
||
650 |
_aself-organising-maps, _945596 |
||
650 |
_a Portugal _945597 |
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700 |
_aAbrantes, Patrícia _945589 |
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700 |
_aRocha, Jorge _945590 |
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700 |
_aMarques da Costa, Eduarda _934329 |
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700 |
_aGomes, Eduardo _945591 |
||
700 |
_aMorgado, Paulo _945592 |
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700 |
_aCosta, Nuno _931179 |
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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 |