Centre de documentation
scientifique

Dépouillements

Modelling spatial processes in quantitative human geography / A. Stewart Fotheringham in Annals of GIS, vol 28 n° 1 (January 2022)  

Public [article]  inAnnals of GIS > vol 28 n° 1 (January 2022) . - pp 5 - 14 Titre : Modelling spatial processes in quantitative human geography Type de document : Article/Communication Auteurs : A. Stewart Fotheringham, Auteur ; Mehak Sachdeva, Auteur Année de publication : 2022 Article en page(s) : pp 5 - 14 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] comportement [Termes IGN] covariance [Termes IGN] géographie humaine [Termes IGN] hétérogénéité spatiale [Termes IGN] modélisation spatiale [Termes IGN] régression géographiquement pondérée Résumé : (auteur) We discuss the nature of processes relating to human behaviour and how to model such processes when they vary over space. In so doing, we describe the role of local modelling and how the bandwidth parameter, a component of multiscale geographically weighted regression, can inform on the spatial scale over which processes are relatively constant. To do this, we translate properties of spatial data, such as heterogeneity and spatial dependency into the realm of spatial processes. We argue that the modelling of spatially varying processes has important ramifications for how we see the world. Numéro de notice : A2022-187 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/19475683.2021.1903996 Date de publication en ligne : 04/04/2021 En ligne : https://doi.org/10.1080/19475683.2021.1903996 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99915 [article]

Replication and the search for the laws in the geographic sciences / Peter Kedron in Annals of GIS, vol 28 n° 1 (January 2022)  

Public [article]  inAnnals of GIS > vol 28 n° 1 (January 2022) . - pp 45 - 56 Titre : Replication and the search for the laws in the geographic sciences Type de document : Article/Communication Auteurs : Peter Kedron, Auteur ; Joseph Holler, Auteur Année de publication : 2022 Article en page(s) : pp 45 - 56 Note générale : bibliographe Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] autocorrélation spatiale [Termes IGN] géographie [Termes IGN] hétérogénéité spatiale [Termes IGN] ligne de base [Termes IGN] phénomène géographique [Termes IGN] réplication [Termes IGN] reproductibilité [Termes IGN] variance Résumé : (auteur) Replication is a means of assessing the credibility and generalizability of scientific results, whereby subsequent studies independently corroborate the findings of initial research. In the study of geographic phenomena, a distinct form of replicability is particularly important – whether a result obtained in one geographic context applies in another geographic context. However, the laws of geography suggest that it may be challenging to use replication to assess the credibility of findings across space and to identify new laws. Many geographic phenomena are spatially heterogeneous, which implies they exhibit uncontrolled variance across the surface of the earth and lack a characteristic mean. When a phenomenon is spatially heterogeneous, it may be difficult or impossible to establish baselines or rules for study-to-study comparisons. At the same time, geographic observations are typically spatially dependent, which makes it difficult to isolate the effects of interest for cross-study comparison. In this paper, we discuss how laws describing the spatial variation of phenomena may influence the use of replication in geographic research. Developing a set of shared principles for replication assessment based on fundamental laws of geography is a prerequisite for adapting replication standards to meet the needs of disciplinary subfields while maintaining a shared analytical foundation for convergent spatial research. Numéro de notice : A2022-188 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : https://doi.org/10.1080/19475683.2022.2027011 Date de publication en ligne : 17/02/2022 En ligne : https://doi.org/10.1080/19475683.2022.2027011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99916 [article]