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Spatial patterns and eco-epidemiological systems – part 2: multi-scale spatial modelling of the occurrence of Chagas disease insect vectors / Emmanuel Roux in Geospatial Health, vol 6 n° 1 (November 2011)  

Public [article]  inGeospatial Health > vol 6 n° 1 (November 2011) . - pp 53 - 64 Titre : Spatial patterns and eco-epidemiological systems – part 2: multi-scale spatial modelling of the occurrence of Chagas disease insect vectors Type de document : Article/Communication Auteurs : Emmanuel Roux, Auteur ; Annamaria de Fátima Venâncio, Auteur ; Jean-François Girres , Auteur ; Christine A. Romaña, Auteur Année de publication : 2011 Article en page(s) : pp 53 - 64 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] analyse en composantes principales [Termes descripteurs IGN] autocorrélation spatiale [Termes descripteurs IGN] Bahia (Brésil) [Termes descripteurs IGN] épidémie [Termes descripteurs IGN] insecte [Termes descripteurs IGN] maladie parasitaire [Termes descripteurs IGN] matrice Résumé : (auteur) While the former part of this back-to-back paper dealt with the identification of multi-scale spatial patterns associated with the presence, abundance and dispersion of the insect vectors (Triatominae) of Chagas disease, this latter part examines the need for pattern characterisation by means of detailed data on environmental, residential, peri-domiciliary and human behaviour. The study site was, in both cases, a single village situated in Bahia, Brazil, wherefrom the data were collected through field observation and a standardised questionnaire, while the environmental characteristics were derived from satellite images and landscape characterisation. Following this, factorial analysis of mixed group (FAMG), an exploratory data analysis method, was applied to “mine” the huge dataset in a hierarchical way and to evaluate the relative impact of different factors such as the surrounding environment, the domiciliary/peri-domiciliary space properties and the presence of domestic animals. In the study village, five principal “districts” associated with different possible causes of infestation were identified. The results favour the role of depressions of the ground surface due to collapse of karstic subsoil (dolines) and open rock faces as infestation sources, vector attraction by outdoor lighting, risk of insect domiciliation in dwellings constructed without finishing materials and associated with apparent disorder. Ultimately, this study not only provides the basic information needed for decision-making and specification of vector control in the study village, but offers also a knowledge-base for more general control strategies in the region. Numéro de notice : A2011-606 Affiliation des auteurs : COGIT+Ext (1988-2011) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.4081/gh.2011.157 date de publication en ligne : 01/11/2011 En ligne : https://doi.org/10.4081/gh.2011.157 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91683 [article]

Voir aussi

• Spatial patterns and eco-epidemiological systems – part 1: multi-scale spatial modelling of the occurrence of Chagas disease insect vectors / Emmanuel Roux in Geospatial Health, vol 6 n° 1 (November 2011)  

Exploring population spatial concentrations in Northern Ireland by community background and other characteristics: an application of geographically weighted spatial statistics / C.D. Lloyd in International journal of geographical information science IJGIS, vol 24 n°7-8 (july 2010)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 24 n°7-8 (july 2010) . - pp 1193 - 1221 Titre : Exploring population spatial concentrations in Northern Ireland by community background and other characteristics: an application of geographically weighted spatial statistics Type de document : Article/Communication Auteurs : C.D. Lloyd, Auteur Année de publication : 2010 Article en page(s) : pp 1193 - 1221 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] autocorrélation spatiale [Termes descripteurs IGN] géostatistique [Termes descripteurs IGN] interpolation inversement proportionnelle à la distance [Termes descripteurs IGN] interpolation par pondération de zones [Termes descripteurs IGN] Irlande du nord [Termes descripteurs IGN] pondération [Termes descripteurs IGN] population [Termes descripteurs IGN] régression géographiquement pondérée [Termes descripteurs IGN] religion [Termes descripteurs IGN] urbanisation Résumé : (Auteur) Information on how populations are spatially concentrated by different characteristics is a key means of guiding government policies in a variety of contexts, in addition to being of substantial academic interest. In particular, to reduce inequalities between groups, it is necessary to understand the characteristics of these groups in terms of their composition and their geographical structure. This article explores the degree to which the population of Northern Ireland is spatially concentrated by a range of characteristics. There is a long history of interest in residential segregation by religion in Northern Ireland; this article assesses population concentration not only by community background ('religion or religion brought up in') but also by housing tenure, employment and other socioeconomic and demographic characteristics. The spatial structure of geographical variables can be captured by a range of spatial statistics including Moran's I. Such approaches utilise information on connections between observations or the distances between them. While such approaches are conceptually an improvement on standard aspatial statistics, a logical further step is to compute statistics on a local basis on the grounds that most real-world properties are not spatially homogenous and, therefore, global measures may mask much variation. In population geography, which provides the substantive focus for this article, there are still relatively few studies that assess in depth the application of geographically weighted statistics for exploring population characteristics individually and for exploring relations between variables. This article demonstrates the value of such approaches by using a variety of geographically weighted statistical measures to explore outputs from the 2001 Census of Population of Northern Ireland. A key objective is to assess the degree to which the population is spatially divided, as judged by the selected variables. In other words, do people cluster more strongly with others who share their community background or others who have a similar socioeconomic status in some respect? The analysis demonstrates how geographically weighted statistics can be used to explore the degree to which single socioeconomic and demographic variables and relations between such variables differ at different spatial scales and at different geographical locations. For example, the results show that there are regions comprising neighbouring areas with large proportions of people from the same community background, but with variable unemployment levels, while in other areas the first case holds true but unemployment levels are consistently low. The analysis supports the contention that geographical variations in population characteristics are the norm, and these cannot be captured without using local methods. An additional methodological contribution relates to the treatment of counts expressed as percentages. Numéro de notice : A2010-326 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810903321321 En ligne : https://doi.org/10.1080/13658810903321321 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30520 [article]

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Detecting negative spatial autocorrelation in georeferenced random variables / Daniel A. Griffith in International journal of geographical information science IJGIS, vol 24 n°3-4 (march 2010)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 24 n°3-4 (march 2010) . - pp 417 - 437 Titre : Detecting negative spatial autocorrelation in georeferenced random variables Type de document : Article/Communication Auteurs : Daniel A. Griffith, Auteur ; Guiseppe Arbia, Auteur Année de publication : 2010 Article en page(s) : pp 417 - 437 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes descripteurs IGN] agrégation spatiale [Termes descripteurs IGN] autocorrélation spatiale [Termes descripteurs IGN] distribution spatiale [Termes descripteurs IGN] inférence statistique [Termes descripteurs IGN] régression [Termes descripteurs IGN] variable aléatoire [Termes descripteurs IGN] variable régionalisée [Termes descripteurs IGN] vecteur propre Résumé : (Auteur) Negative spatial autocorrelation refers to a geographic distribution of values, or a map pattern, in which the neighbors of locations with large values have small values, the neighbors of locations with intermediate values have intermediate values, and the neighbors of locations with small values have large values. Little is known about negative spatial autocorrelation and its consequences in statistical inference in general, and regression-based inference in particular, with spatial researchers to date concentrating mostly on understanding the much more frequently encountered case of positive spatial autocorrelation. What are the spatial contexts within which negative spatial autocorrelation should be readily found? What are its inferential consequences for regression models? This paper presents selected empirical examples of negative spatial autocorrelation, adding to the slowly growing literature about this phenomenon. Copyright Taylor & Francis Numéro de notice : A2010-143 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810902832591 En ligne : http://dx.doi.org/10.1080/13658810902832591 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30338 [article]

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A network representation of raster land-cover patches / L. De Cola in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 1 (January 2010)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 1 (January 2010) . - pp 61 - 72 Titre : A network representation of raster land-cover patches Type de document : Article/Communication Auteurs : L. De Cola, Auteur Année de publication : 2010 Article en page(s) : pp 61 - 72 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes descripteurs IGN] analyse comparative [Termes descripteurs IGN] autocorrélation spatiale [Termes descripteurs IGN] classification automatique [Termes descripteurs IGN] données maillées [Termes descripteurs IGN] structure de données localisées [Termes descripteurs IGN] système d'information géographique Résumé : (Auteur) Network models, based on mathematical graph theory, are used in many fields, from chemistry and biology to ecology and sociology. A nominal-valued land-cover raster can be represented as a network in which patches are nodes connected by links if two patches are adjacent. Built with existing GIS technology, the system is applied to the largest patches of a raster for the Washington, D.C. area in order to provide a data structure that visualizes the gross spatial structure of the raster; provides information about the overall arrangement of the patches and their adjacencies; and generates new metrics about land-cover patterns, connectivity and spatial autocorrelation. The system facilitates the evaluation of land-cover classifications, the measurement of landscape change, comparisons of data from different regions, and the analysis of land/environmental interactions. Copyright ASPRS Numéro de notice : A2010-014 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.1.61 En ligne : https://doi.org/10.14358/PERS.76.1.61 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30210 [article]

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An improved fuzzy Kappa statistic that accounts for spatial autocorrelation / A. Hagen-Zanker in International journal of geographical information science IJGIS, vol 23 n° 1-2 (january 2009)

Public [article]  inInternational journal of geographical information science IJGIS > vol 23 n° 1-2 (january 2009) . - pp 61 - 73 Titre : An improved fuzzy Kappa statistic that accounts for spatial autocorrelation Type de document : Article/Communication Auteurs : A. Hagen-Zanker, Auteur Année de publication : 2009 Article en page(s) : pp 61 - 73 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] autocorrélation spatiale [Termes descripteurs IGN] Kappa de Cohen [Termes descripteurs IGN] logique floue [Termes descripteurs IGN] voisinage (topologie) Résumé : (Auteur) The Fuzzy Kappa statistic expresses the agreement between two categorical raster maps. The statistic goes beyond cell-by-cell comparison and gives partial credit to cells based on the categories found in the neighborhood. When matching categories are found at shorter distances the agreement is higher. Like the well-established Kappa statistic the Fuzzy Kappa statistic expresses the mean agreement relative to the expected agreement. The model underlying the expected agreement assumes absence of spatial autocorrelation in both compared maps. In reality however, spatial autocorrelation does lower the expected agreement as matching categories become less likely to be found close-by. Since most maps have some degree of spatial autocorrelation, the calculated expected agreement is generally higher than the true expected agreement. This leads to counterintuitive results when maps that appear to have considerable agreement obtain negative Fuzzy Kappa values. Furthermore, the Fuzzy Kappa may be biased, as it systematically attributes lower agreement to maps with stronger spatial autocorrelation. This paper proposes an improved Fuzzy Kappa statistic that is based on the same local agreement and has the same attractive properties as the original Fuzzy Kappa. The novelty is that the new statistic accounts for spatial autocorrelation, such that the expected Fuzzy Kappa for maps that are not cross-correlated is equal to zero. The improved statistic is applied on two cases to demonstrate its properties. Copyright Taylor & Francis Numéro de notice : A2009-127 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29757 [article]

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Weighting function alternatives for a subpixel allocation model / Y. Makido in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 11 (November 2007)

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Assessing alternatives for modelling the spatial distribution of multiple land-cover classes at sub-pixel scales / Y. Makido in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 8 (August 2007)

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A comparison of local variance, fractal dimension, and Moran's index as aids to multispectral image classification / C.W. Emerson in International Journal of Remote Sensing IJRS, vol 26 n° 8 (April 2005)

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SPOT-4 Vegetation multi-temporal compositing for land cover change studies over tropical regions / João M.B. Carreiras in International Journal of Remote Sensing IJRS, vol 26 n° 7 (April 2005)

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Statistique spatiale / Jean-Marc Zaninetti (2005)

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The choice of window size in approximating topographic surfaces from digital elevation models / M. Albani in International journal of geographical information science IJGIS, vol 18 n° 6 (october 2004)

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Wavelet for urban spatial feature discrimination: comparisons with fractal, spatial autocorrelation, and spatial co-occurrence approaches / Nina S-N Lam in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 7 (July 2004)

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Système d'information géographique et sécurité / Claire Cunty (2004)

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Activité, chômage et territoires en France / Jean-Marc Zaninetti (13/03/2003)

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Identifier les zones noires d'un réseau routier par l'autocorrélation spatiale locale : analyses de sensibilité et aspects opérationnels / Benoit Flahaut in Revue internationale de géomatique, vol 12 n° 2 (juin - août 2002)

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