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Auteur G. Manca |
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Waiting to know the future: A SLEUTH model forecast of urban growth with real data / G. Manca in Cartographica, vol 47 n° 4 (December 2012)
[article]
Titre : Waiting to know the future: A SLEUTH model forecast of urban growth with real data Type de document : Article/Communication Auteurs : G. Manca, Auteur ; K. Clarke, Auteur Année de publication : 2012 Article en page(s) : pp 250 - 258 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] croissance urbaine
[Termes IGN] données démographiques
[Termes IGN] données multitemporelles
[Termes IGN] Italie
[Termes IGN] modèle de simulation
[Termes IGN] planification
[Termes IGN] prédiction
[Termes IGN] Sardaigne
[Termes IGN] système d'information géographique
[Termes IGN] utilisation du solRésumé : (Auteur) What is the true value of simulation modelling to urban growth? This article assesses the validity of an integrated approach, based on the SLEUTH Model and land-use planning theory, as used to create an eight-year forecast in 1998. With actual data on the extent of urbanization in 2006 now available, the authors find that the 1998 forecasts were accurate. The case study is located in Macomer, an inland municipality of Sardinia, Italy, an island in the central Mediterranean Sea. Noting that data collection is an essential first step of planning, the authors assess Macomer's land-use history, geography, economy, and demographics as context for more integrated and holistic planning than has been undertaken in the region to date. The 1998 calibration and prediction of the Urban Growth Model, a component of SLEUTH, simulated Macomer's urban growth for the following eight years and has been reviewed and statistically validated. With detailed geographical results, the authors confirm that the 1998 simulation closely reflects real urban growth as of 2006. This finding is particularly notable because urban growth in Sardinia has been slow, and a higher level of accuracy in urban planning is necessary to achieve stronger predictive capability. Numéro de notice : A2012-643 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/carto.47.4.1321 En ligne : http://www.utpjournals.press/doi/full/10.3138/carto.47.4.1321 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32089
in Cartographica > vol 47 n° 4 (December 2012) . - pp 250 - 258[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 031-2012041 RAB Revue Centre de documentation En réserve L003 Disponible Fuzzy analysis for modeling regional delineation and development: The case of the Sardinian mining geopark / G. Manca in Transactions in GIS, vol 16 n° 1 (February 2012)
[article]
Titre : Fuzzy analysis for modeling regional delineation and development: The case of the Sardinian mining geopark Type de document : Article/Communication Auteurs : G. Manca, Auteur ; K. Curtin, Auteur Année de publication : 2012 Article en page(s) : pp 55 - 79 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse de groupement
[Termes IGN] logique floue
[Termes IGN] mine
[Termes IGN] Sardaigne
[Termes IGN] segmentationRésumé : (Auteur) Although defining geographic regions for analysis can be a complex exercise, involving both physical and human geographic perspectives, employing both qualitative and quantitative data, and integrating a wide range of social, economic, and political factors, it is frequently a necessary exercise in the pursuit of regional development. This article presents a method for modeling and delineating regions with fuzzy analysis for the purpose of regional development. A review of the literature regarding fuzzy analysis is provided, which demonstrates that this method is both novel and necessary. An application of this method is described in the context of the Sardinian Geopark. The fuzzy clustering analysis demonstrates how combinations of factors can inform decisions regarding where and how to initiate or continue regional development efforts. Suggestions for improvements and extensions to this process are provided. Numéro de notice : A2012-098 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2011.01300.x En ligne : https://doi.org/10.1111/j.1467-9671.2011.01300.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31546
in Transactions in GIS > vol 16 n° 1 (February 2012) . - pp 55 - 79[article]