Centre de documentation
scientifique

Analysis of scale dependencies in an urban land-use-change model / C.A. Jantz in International journal of geographical information science IJGIS, vol 19 n° 2 (february 2005)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 19 n° 2 (february 2005) . - pp 217 - 241 Titre : Analysis of scale dependencies in an urban land-use-change model Type de document : Article/Communication Auteurs : C.A. Jantz, Auteur ; S.J. Goetz, Auteur Année de publication : 2005 Article en page(s) : pp 217 - 241 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] analyse de sensibilité [Termes IGN] analyse spatiale [Termes IGN] changement d'occupation du sol [Termes IGN] croissance urbaine [Termes IGN] étalonnage de modèle [Termes IGN] modèle de simulation [Termes IGN] utilisation du sol Résumé : (Auteur) Different processes shaping land-use patterns are observed at different scales. In land-use modelling, scale can influence the measurement and quantitative description of land-use patterns and can therefore significantly impact the behaviour of model parameters that describe land-use change processes. We present results of a rigorous sensitivity analysis of a cellular urban land-usechange model, SLEUTH, testing its performance in response to varying cell resolutions. Specifically, we examine the behaviour of each type of urban growth rule across different cell sizes, and explore the model's ability to capture growth rates and patterns across scales. Our findings suggest that SLEUTH's sensitivity to scale extend beyond issues of calibration. While the model was able to capture the rate of growth reliably across all cell sizes, differences in its ability to simulate growth patterns across scales were substantial. We also observed significant differences in the sensitivity of the growth rules across cell sizes, indicating that SLEUTH may perform better at certain cell sizes than at others. These findings emphasize the importance of scale considerations in land-use-change modelling research, particularly in terms of determining the relevant and appropriate scales of enquiry for the processes being simulated. Numéro de notice : A2005-049 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810410001713425 En ligne : https://doi.org/10.1080/13658810410001713425 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27187 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-05021	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-05022	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Mapping residential density patterns using multi- temporal Landsat data and decision-tree classifier / S. Mccauley in International Journal of Remote Sensing IJRS, vol 25 n° 6 (March 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 6 (March 2004) . - pp 1077 - 1094 Titre : Mapping residential density patterns using multi- temporal Landsat data and decision-tree classifier Type de document : Article/Communication Auteurs : S. Mccauley, Auteur ; S.J. Goetz, Auteur Année de publication : 2004 Article en page(s) : pp 1077 - 1094 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse discriminante [Termes IGN] classification par arbre de décision [Termes IGN] densité de population [Termes IGN] image Landsat-TM [Termes IGN] population urbaine [Termes IGN] utilisation du sol Résumé : (Auteur) We examined the utility of Landsat Thematic Mapper (TM) imagery for mapping residential land use in Montgomery County, Maryland, USA. The study area was chosen partly because of the availability of a unique parcel-level database of land use attributes and an associated digital map of parcel boundaries. These data were used to develop a series of land use classifications from a combination of leaf-on and leaf-off TM image derivatives and an algorithm based on 'decision tree' theory. Results suggest potential utility of the approach, particularly to state and local governments for land use mapping and planning applications, but greater accuracies are needed for broad practical application. In general, it was possible to discriminate different densities of residential development, and to separate these from commercial/industrial and agricultural areas. Difficulties arose in the discrimination of low-density residential areas due to the range of land cover types within this specific land use, and their associated spatial variability. The greater classification errors associated with these low-density developed areas were not unexpected. We found that these errors could be mitigated somewhat with techniques that consider the mode of training data selection and by incorporation of methods that account for the presence and amount of impervious surfaces (e.g. pavement and rooftops). Numéro de notice : A2004-085 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000115102 En ligne : https://doi.org/10.1080/0143116031000115102 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26612 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-04061	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt