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A time‐geographic approach to quantifying wildlife–road interactions / Rebecca W. Loraamm in Transactions in GIS, vol 23 n° 1 (February 2019)  

Public [article]  inTransactions in GIS > vol 23 n° 1 (February 2019) . - pp 70 - 86 Titre : A time‐geographic approach to quantifying wildlife–road interactions Type de document : Article/Communication Auteurs : Rebecca W. Loraamm, Auteur ; Joni A. Downs, Auteur ; David Lamb, Auteur Année de publication : 2019 Article en page(s) : pp 70 - 86 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] analyse spatio-temporelle [Termes descripteurs IGN] comportement [Termes descripteurs IGN] données GPS [Termes descripteurs IGN] échantillonnage de données [Termes descripteurs IGN] faune locale [Termes descripteurs IGN] gestion de la vie sauvage [Termes descripteurs IGN] interaction spatiale [Termes descripteurs IGN] migration animale [Termes descripteurs IGN] Mustelidae [Termes descripteurs IGN] prisme spatio-temporel [Termes descripteurs IGN] route [Termes descripteurs IGN] Time-geography [Termes descripteurs IGN] voxel Résumé : (auteur) Recent advances in time geography offer new perspectives for studying animal movements and interactions in an environmental context. In particular, the ability to estimate an animal's spatial location probabilistically at temporal sampling intervals between known fix locations allows researchers to quantify how individuals interact with one another and their environment on finer temporal and spatial scales than previously explored. This article extends methods from time geography, specifically probabilistic space–time prisms, to quantify and summarize animal–road interactions toward understanding related diurnal movement behaviors, including road avoidance. The approach is demonstrated using tracking data for fishers (Martes pennanti) in New York State, where the total probability of interaction with roadways is calculated for individuals over the duration tracked. Additionally, a summarization method visualizing daily interaction probabilities at 60 s intervals is developed to assist in the examination of temporal patterns associated with fishers’ movement behavior with respect to roadways. The results identify spatial and temporal patterns of fisher–roadway interaction by time of day. Overall, the methodologies discussed offer an intuitive means to assess moving object location probabilities in the context of environmental factors. Implications for movement ecology and related conservation planning efforts are also discussed. Numéro de notice : A2019-090 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12497 date de publication en ligne : 17/12/2018 En ligne : https://doi.org/10.1111/tgis.12497 Format de la ressource électronique : url Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92237 [article]

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 descripteurs IGN] aire naturelle (écologie) [Termes descripteurs IGN] densité de population [Termes descripteurs IGN] données localisées [Termes descripteurs IGN] méthode fondée sur le noyau [Termes descripteurs IGN] migration animale [Termes descripteurs IGN] modèle orienté agent [Termes descripteurs IGN] population animale [Termes descripteurs 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 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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Extraction of spatio‐temporal data about historical events from text documents / Susanna Abraham in Transactions in GIS, vol 22 n° 3 (June 2018)  

Public [article]  inTransactions in GIS > vol 22 n° 3 (June 2018) . - pp 677 - 696 Titre : Extraction of spatio‐temporal data about historical events from text documents Type de document : Article/Communication Auteurs : Susanna Abraham, Auteur ; Stephan Mäs, Auteur ; Lars Bernard, Auteur Année de publication : 2018 Article en page(s) : pp 677 - 696 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes descripteurs IGN] base de données historiques [Termes descripteurs IGN] histoire [Termes descripteurs IGN] recherche d'information géographique [Termes descripteurs IGN] Time-geography [Termes descripteurs IGN] traitement du langage naturel Résumé : (Auteur) Often, we are faced with questions regarding past events and the answers are hidden in the historical text archives. The growing developments in geographic information retrieval and temporal information retrieval techniques have given new ways to explore digital text archives for spatio‐temporal data. The question is how to retrieve the answers from the text documents. This work contributes to a better understanding of spatio‐temporal information extraction from text documents. Natural language processing techniques were used to develop an information extraction approach using the GATE language processing software. The developed framework uses gazetteer matching, spatio‐temporal relationship extraction and pattern‐based rules to recognize and annotate elements in historical text documents. The extracted spatio‐temporal data is used as input for GIS studies on the time–geography context of the German–Herero resistance war of 1904 in Namibia. Related issues when analyzing the historical data in current GIS are discussed. Particularly problematic are movement data in small scale with poor temporal density and trajectories that are short or connect very distant locations. Numéro de notice : A2018-577 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12448 date de publication en ligne : 17/08/2018 En ligne : https://doi.org/10.1111/tgis.12448 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92324 [article]

The geometry of space-time prisms with uncertain anchors / Bart Kuijpers in International journal of geographical information science IJGIS, vol 31 n° 9-10 (September - October 2017)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 31 n° 9-10 (September - October 2017) . - pp 1722 - 1748 Titre : The geometry of space-time prisms with uncertain anchors Type de document : Article/Communication Auteurs : Bart Kuijpers, Auteur ; Walied Othman, Auteur Année de publication : 2017 Article en page(s) : pp 1722 - 1748 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] analyse spatio-temporelle [Termes descripteurs IGN] données spatiotemporelles [Termes descripteurs IGN] erreur de mesure [Termes descripteurs IGN] géométrie [Termes descripteurs IGN] incertitude géométrique [Termes descripteurs IGN] modèle conceptuel de données spatio-temporelles [Termes descripteurs IGN] objet mobile [Termes descripteurs IGN] point d'ancrage [Termes descripteurs IGN] prisme spatio-temporel [Termes descripteurs IGN] Time-geography [Termes descripteurs IGN] zone d'intérêt Résumé : (Auteur) Space-time prisms envelop all spatio-temporal locations that moving objects may have visited between two of their known spatio-temporal locations, given a bound on their travel speed. In this context, the known locations are often the result of observations or measurements, and they are called ‘anchor points’. The classic space-time prism, in isotropic two-dimensional space, as well as in transportation networks, assumes that the measurements of these anchor points are exact. Whereas, in many applications, we can assume that time can be measured fairly precisely, this assumption is unrealistic for the spatial components of measured locations (we think of Global Positioning System (GPS) errors, for instance). In this paper, we extend the classical prism from anchor points to circular ‘anchor regions’ that capture the uncertainty or error on their measurement. We define the notion of a space-time prism with uncertain anchor points, called uncertain prism, for short. We study the geometry of uncertain prisms in an arbitrary metric space to make this concept as widely applicable as possible. We also focus on the rims of uncertain space-time prisms, which demarcate the area that a moving object can have visited between two anchor regions (given some local speed limitations). Numéro de notice : A2017-504 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2017.1319950 En ligne : https://doi.org/10.1080/13658816.2017.1319950 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86449 [article]

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A wildlife movement approach to optimally locate wildlife crossing structures / Rebecca W. Loraamm in International journal of geographical information science IJGIS, vol 30 n° 1-2 (January - February 2016)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 30 n° 1-2 (January - February 2016) . - pp 74 - 88 Titre : A wildlife movement approach to optimally locate wildlife crossing structures Type de document : Article/Communication Auteurs : Rebecca W. Loraamm, Auteur ; Joni A. Downs, Auteur Année de publication : 2016 Article en page(s) : pp 74 - 88 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] croisement spatial [Termes descripteurs IGN] faune [Termes descripteurs IGN] migration animale [Termes descripteurs IGN] noeud [Termes descripteurs IGN] optimisation (mathématiques) [Termes descripteurs IGN] route [Termes descripteurs IGN] Time-geography Résumé : (auteur) Transportation networks negatively impact wildlife populations by limiting the physical movement of the individual animal. In extreme cases road presence can lead to collisions between vehicles and animals, resulting in direct mortality if an animal attempts to cross the road. Crossing structures are one commonly used method for reducing wildlife–vehicle collisions. However, limited funding often reduces the amount of structures that may be constructed in practice. Therefore, areas that have the highest probability for animal interactions with roads should be targeted for locating new structures to provide the best possible outcome. This research uses a probabilistic time-geographic strategy coupled with a site selection phase handled by a classical optimization model to site wildlife crossing structures. To achieve optimal site selection, crossing locations are first identified where wildlife frequently cross roads, and then a maximum covering location problem is applied to these areas as demand nodes. The objective is to cover the largest area having the highest probability of interaction given a finite number of crossing structures available to be located. Coverage is defined in terms of fencing distance associated with a particular structure. The approach was demonstrated using Florida panther telemetry data identifying potential crossing structures across two counties in south Florida. The maximal covering location problem (MCLP) was solved for four coverage distances using radio telemetry tracking data, which captured frequent contact with roads. The results identify that the most effective coverage distance is 2000 m, which incrementally covers more total animal–road interaction probability than that of lower fencing distances in the case of the Florida panther. The results illustrate how this new time-geographic approach, combined with location modeling, measures animal–road interactions probabilistically for finding the optimum placement of wildlife crossing structures. Numéro de notice : A2016-011 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1083995 En ligne : http://dx.doi.org/10.1080/13658816.2015.1083995 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79332 [article]

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A modification of the time-geographic framework to support temporal flexibility in ‘fixed’ activities / Laure Charleux in International journal of geographical information science IJGIS, vol 29 n° 7 (July 2015)  

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A GIS toolbox for measuring and mapping person-based space-time accessibility / Laure Charleux in Transactions in GIS, vol 19 n° 2 (April 2015)  

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Extended abstract proceedings of the GIScience 2014 / Kathleen Stewart (2014)  

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Improving knowledge about wildlife mobility in using geographic network analysis / Elodie Buard (2014) 

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Linking time geography and activity theory to support the activities of mobile information seekers / Paul Crease in Transactions in GIS, vol 17 n° 4 (August 2013)  

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Dynamiques des interactions espèces-espace / Elodie Buard (2013)    

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The elements of probabilistic time geography / Stephan Winter in Geoinformatica, vol 15 n° 3 (July 2011)  

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Pratiques spatiales des populations animales : analyses par les trajectoires / Elodie Buard (2011) 

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Directed movements in probabilistic time geography / Stephan Winter in International journal of geographical information science IJGIS, vol 24 n° 9 (september 2010)  

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Modèle et langage pour la manipulation de trajectoires spatio-temporelles / D. Zheni Triki in Revue internationale de géomatique, vol 20 n° 1 (mars - mai 2010)  

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