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Testing time-geographic density estimation for home range analysis using an agent-based model of animal movement / Joni A. Downs in International journal of geographical information science IJGIS, vol 32 n° 7-8 (July - August 2018)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 32 n° 7-8 (July - August 2018) . - pp 1505 - 1522 Titre : Testing time-geographic density estimation for home range analysis using an agent-based model of animal movement Type de document : Article/Communication Auteurs : Joni A. Downs, Auteur ; Mark Horner, Auteur ; David Lamb, Auteur ; Rebecca W. Loraamm, Auteur ; James Anderson, Auteur ; Brittany Wood, Auteur Année de publication : 2018 Article en page(s) : pp 1505 - 1522 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] aire naturelle (écologie) [Termes IGN] densité de population [Termes IGN] données localisées [Termes IGN] méthode fondée sur le noyau [Termes IGN] migration animale [Termes IGN] modèle orienté agent [Termes IGN] population animale [Termes IGN] Time-geography Résumé : (auteur) Time-geographic density estimation (TGDE) is a method of movement pattern analysis that generates a continuous intensity surface from a set of tracking data. TGDE has recently been proposed as a method of animal home range estimation, where the goal is to delineate the spatial extents that an animal occupies. This paper tests TGDE’s effectiveness as a home range estimator using simulated movement data. First, an agent-based model is used to simulate tracking data under 16 movement scenarios representing a variety of animal life history traits (habitat preferences, homing behaviour, mobility) and habitat configurations (levels of habitat fragmentation). Second, the accuracy of TGDE is evaluated for four temporal sampling frequencies using three adaptive velocity parameters for 30 sample data sets from each scenario. Third, TGDE accuracy is compared to two other common home range estimation methods, kernel density estimation (KDE) and characteristic hull polygons (CHP). The results demonstrate that TGDE is the most effective at estimating core areas, home ranges and total areas at high sampling frequencies, while CHP performs better at low sampling frequencies. KDE was ineffective across all scenarios explored. Numéro de notice : A2018-281 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658816.2017.1421764 Date de publication en ligne : 03/01/2018 En ligne : https://doi.org/10.1080/13658816.2017.1421764 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90363 [article]

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079-2018041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Using geographical information system to model the effects of green space accessibility on mortality in Florida / C. Coutts in Geocarto international, vol 25 n° 6 (October 2010)  

Public [article]  inGeocarto international > vol 25 n° 6 (October 2010) . - pp 471 - 484 Titre : Using geographical information system to model the effects of green space accessibility on mortality in Florida Type de document : Article/Communication Auteurs : C. Coutts, Auteur ; Mark Horner, Auteur ; T. Chapin, Auteur Année de publication : 2010 Article en page(s) : pp 471 - 484 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] accessibilité [Termes IGN] espace vert [Termes IGN] Floride (Etats-Unis) [Termes IGN] mortalité [Termes IGN] risque sanitaire [Termes IGN] santé [Termes IGN] système d'information géographique Résumé : (Auteur) The loss of green space in an increasingly developed landscape may not only have negative environmental impacts but may also be detrimental to human health. The relationship between green space and health is dependent on not only the presence but also access to green space. This cross-sectional ecological study uses a geographical information system to examine the relationships between the presence and accessibility of green space and county-level mortality in the state of Florida. After controlling for some of the leading influences of mortality - including the levels of obesity, smoking, old age, and education - we found that the amount of green space within defined distances of census tracts in each county was associated with both all cause and cardiovascular mortality. Neither the gross amount of green space in a county nor the average distance to green space from census tracts in a county were significantly associated with our mortality measures. Numéro de notice : A2010-444 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2010.505302 Date de publication en ligne : 13/08/2010 En ligne : https://doi.org/10.1080/10106049.2010.505302 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30637 [article]

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059-2010061	RAB	Revue	Centre de documentation	En réserve L003	Disponible