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Auteur Yousef Sakieh |
Documents disponibles écrits par cet auteur (2)
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Measuring the effect of an ongoing urbanization process on biodiversity conservation suitability index : integrating scenario-based urban growth modelling with Conservation Assessment and Prioritization System (CAPS) / Mehdi Sheikh Goodarzi in Geocarto international, vol 32 n° 8 (August 2017)
[article]
Titre : Measuring the effect of an ongoing urbanization process on biodiversity conservation suitability index : integrating scenario-based urban growth modelling with Conservation Assessment and Prioritization System (CAPS) Type de document : Article/Communication Auteurs : Mehdi Sheikh Goodarzi, Auteur ; Yousef Sakieh, Auteur ; Shabnam Navardi, Auteur Année de publication : 2017 Article en page(s) : pp 834 - 852 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] aide à la décision
[Termes IGN] biodiversité
[Termes IGN] implémentation (informatique)
[Termes IGN] Iran
[Termes IGN] modèle de simulation
[Termes IGN] politique de conservation (biodiversité)
[Termes IGN] système d'information géographique
[Termes IGN] urbanisation
[Termes IGN] varianceRésumé : (Auteur) The present study adopts an integrative modelling methodology, which combines the strengths of the SLEUTH model and the Conservation Assessment and Prioritization System (CAPS) method. By developing a scenario-based geographic information system simulation environment for Hashtpar City, Iran, the manageability of the landscape under each urban growth scenario is analysed. In addition, the CAPS approach was used for biodiversity conservation suitability mapping. The SLEUTH model was implemented to generate predictive urban layers of the years 2020, 2030, 2040 and 2050 for each scenario (dynamic factors for conservation suitability mapping). Accordingly, conservation suitability surface of the area is updated for each time point and under each urban development storyline. Two-way analysis of variance and Duncan’s new multiple range tests were employed to compare the functionality of the three scenarios. Based on results, the managed urban growth scenario depicted better results for manageability of the landscape and less negative impact on conservation suitability values. Numéro de notice : A2017-455 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2017.1299799 Date de publication en ligne : 14/03/2017 En ligne : http://dx.doi.org/10.1080/10106049.2017.1299799 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86377
in Geocarto international > vol 32 n° 8 (August 2017) . - pp 834 - 852[article]Performance evaluation of land change simulation models using landscape metrics / Sadeq Dezhkam in Geocarto international, vol 32 n° 6 (June 2017)
[article]
Titre : Performance evaluation of land change simulation models using landscape metrics Type de document : Article/Communication Auteurs : Sadeq Dezhkam, Auteur ; Bahman Jabbarian Amiri, Auteur ; Ali Asghar Darvishsefat, Auteur ; Yousef Sakieh, Auteur Année de publication : 2017 Article en page(s) : pp 655 - 677 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse diachronique
[Termes IGN] champ aléatoire de Markov
[Termes IGN] changement d'occupation du sol
[Termes IGN] changement d'utilisation du sol
[Termes IGN] géovisualisation
[Termes IGN] Iran
[Termes IGN] modèle de simulation
[Termes IGN] simulation spatiale
[Termes IGN] test de performanceRésumé : (Auteur) This study proposes a landscape metrics-based method for model performance evaluation of land change simulation models. To quantify model performance at both landscape and class levels, a set of composition- and configuration-based metrics including number of patches, class area, landscape shape index, mean patch area and mean Euclidean nearest neighbour distance were employed. These landscape metrics provided detailed information on simulation success of a cellular automata-Markov chain (CA-Markov) model standpoint of spatial arrangement of the simulated map versus the corresponding reference layer. As a measure of model simulation success, mean relative error (MRE) of the metrics was calculated. At both landscape and class levels, the MRE values were accounted for 22.73 and 10.2%, respectively, which are further categorised into qualitative measurements of model simulation performance for simple and quick comparison of the results. Findings of the present study depict a hierarchical and multi spatial level assessment of model performance. Numéro de notice : A2017-276 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2016.1167967 Date de publication en ligne : 08/04/2016 En ligne : http://dx.doi.org/10.1080/10106049.2016.1167967 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85305
in Geocarto international > vol 32 n° 6 (June 2017) . - pp 655 - 677[article]