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Spatial biodiversity modeling using high-performance computing cluster: A case study to access biological richness in Indian landscape / Hariom Singh in Geocarto international, vol 36 n° 18 ([01/10/2021])
[article]
Titre : Spatial biodiversity modeling using high-performance computing cluster: A case study to access biological richness in Indian landscape Type de document : Article/Communication Auteurs : Hariom Singh, Auteur ; R.D. Garg, Auteur ; Harish Chandra Karnatak, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 2023 - 2043 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] autocorrélation spatiale
[Termes IGN] biodiversité
[Termes IGN] coefficient de corrélation
[Termes IGN] distribution spatiale
[Termes IGN] Inde
[Termes IGN] processus de hiérarchisation analytique
[Termes IGN] regroupement de données
[Termes IGN] relevé phytosociologique
[Termes IGN] SIG participatifRésumé : (auteur) The parallel processing and distributed GIServices provide an efficient approach to address the geocomputation challenges in biodiversity modeling. Using the widely applied Spatial Biodiversity Model (SBM) as an illustration, this study demonstrates parallelization of the spatial landscape algorithms based on Message Passing Interface (MPI) in cluster computing. The geocomputation based on MPI is performed to characterize the spatial distribution of Biological Richness (BR) for Indian landscape using developed high-performance cluster computing-based model named as SBM-HPC. In performance analysis, the execution time is reduced by 56.42%–81.41% (or the speedups of 2.29–5.38) using the parallel and cluster computing environment. Also, the spatial landscape algorithms of the model are extended to integrate large-scale geodata from online map services archives using distributed GIServices. To validate BR map, the phytosociological data is collected using participatory GIS approach. Furthermore, regression analysis between derived BR map and Shannon-Wiener index (Hˈ) represents high correlation coefficient R2 values.
Highlights :
- Development of spatial biodiversity model using parallel computing on the cluster.
- Geocomputation of spatial landscape indices using large-scale geospatial datasets.
- Distributed GIService integration in model to compute distributed data archives.
- Prediction of biological richness pattern and validation using participatory GIS.
- Characterize correlations between biological richness and bioclimatic patterns.Numéro de notice : A2021-763 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2019.1678679 Date de publication en ligne : 21/10/2019 En ligne : https://doi.org/10.1080/10106049.2019.1678679 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98798
in Geocarto international > vol 36 n° 18 [01/10/2021] . - pp 2023 - 2043[article]Development of a GIS-based alert system to mitigate flash flood impacts in Asyut governorate, Egypt / Soha A. Mohamed in Natural Hazards, vol 108 n° 3 (September 2021)
[article]
Titre : Development of a GIS-based alert system to mitigate flash flood impacts in Asyut governorate, Egypt Type de document : Article/Communication Auteurs : Soha A. Mohamed, Auteur Année de publication : 2021 Article en page(s) : pp 2739 - 2763 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] analyse multicritère
[Termes IGN] crue
[Termes IGN] densité de population
[Termes IGN] Egypte
[Termes IGN] image Landsat-OLI
[Termes IGN] message d'alerte
[Termes IGN] modèle numérique de surface
[Termes IGN] précipitation
[Termes IGN] processus de hiérarchisation analytique
[Termes IGN] surveillance hydrologique
[Termes IGN] système d'information géographiqueRésumé : (auteur) Egypt is one Arab country that is vulnerable to flash floods caused by heavy and intensive rainfall. Different locations in Egypt are vulnerable to the hazards of flash floods, especially in Upper Egypt. Throughout history, Egypt witnessed a series of events of flash floods that lead to mortality, damages, and economic losses. The intensity and frequency of flash floods in Egypt vary from year to year according to a number of hydrological and climatological variables. Although several previous flash floods studies have been conducted in Egypt, studies on the governorate of Asyut are still limited. This study integrates the physical and social parameters in order to assess the vulnerability to flash floods. The objectives of this study are to shed light on flash floods in the study area, develop a vulnerability model to determine the regions vulnerable to the impacts of flash floods, and propose a flash flood alert system in the governorate of Asyut in Egypt to mitigate the impacts of flash floods and to avoid the loss of life and property. The AHP (analytical hierarchy process) is used for assigning the optimal criterion weight of the considered vulnerability parameters based on the responses of eight expert respondents to an online Google forms questionnaire. The highest weighted flash floods causative parameters are population density (27.4%), precipitation (22.1%), total population (16.4%), and elevation (10.2%), respectively. The results reveal that Asyut is one of the Egyptian governorates pro ne to flash floods’ impacts, especially in Dayrut, Al-Qusiyah, and Abnub, urban districts. The findings of this study are expected to be useful to policymakers and responsible authorities for better disaster risk management and for dealing with the flash floods events in the future. Numéro de notice : A2021-598 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article DOI : 10.1007/s11069-021-04799-2 Date de publication en ligne : 28/05/2021 En ligne : https://doi.org/10.1007/s11069-021-04799-2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98229
in Natural Hazards > vol 108 n° 3 (September 2021) . - pp 2739 - 2763[article]Identifying urban neighborhoods with higher potential for social investment using GIS-FIS approach / Hossein Aghajani in Applied geomatics, vol 13 n° 1 (May 2021)
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Titre : Identifying urban neighborhoods with higher potential for social investment using GIS-FIS approach Type de document : Article/Communication Auteurs : Hossein Aghajani, Auteur ; Ali Alizadeh-Zoeram, Auteur Année de publication : 2021 Article en page(s) : pp 1 - 13 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] analyse spatiale
[Termes IGN] ArcGIS
[Termes IGN] distribution spatiale
[Termes IGN] gestion urbaine
[Termes IGN] Inférence floue
[Termes IGN] Iran
[Termes IGN] Matlab
[Termes IGN] politique sociale
[Termes IGN] processus de hiérarchisation analytique
[Termes IGN] quartier
[Termes IGN] système d'information géographiqueRésumé : (auteur) Today, participation in social investment is a critical concern of urban management in metropolitan areas. To be effective in both public and private sectors, such participation requires an accurate knowledge of geographical distribution of resources and social needs in different parts of the city in order to better manage these investments. To this end, the present research aimed at providing an objective and tangible integrated approach to identify urban neighborhoods with high potential for social investment. The research area was neighborhoods located in Mashhad, Iran. Thirty-one criteria in three dimensions of empowerment, education, and culture were identified. Having determined, normalized, and weighted the values of each criteria in different neighborhoods using the analytic hierarchy process (AHP) method, the weight scores of each neighborhood in each dimension were added up by GIS approach and Arc GIS 10.1 software. Then, in order to conclude the overall status of social investment in different neighborhoods, a fuzzy inference system (FIS) was designed in the MATLAB 2014a environment according to experts’ opinions. Finally, based on the output of the designed system, the overall status of each neighborhood studied was determined in terms of social investment and neighborhoods with high potential for social investment were identified. The approach presented provides an insight for urban mangers, companies, and philanthropic investors to invest more effectively given the appropriate social investment opportunities. Numéro de notice : A2021-236 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s12518-020-00317-4 Date de publication en ligne : 27/05/2020 En ligne : https://doi.org/10.1007/s12518-020-00317-4 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97243
in Applied geomatics > vol 13 n° 1 (May 2021) . - pp 1 - 13[article]Multicriterial method of AHP analysis for the identification of coastal vulnerability regarding the rise of sea level: case study in Ilha Grande Bay, Rio de Janeiro, Brazil / Julia Caon Araujo in Natural Hazards, vol 107 n° 1 (May 2021)
[article]
Titre : Multicriterial method of AHP analysis for the identification of coastal vulnerability regarding the rise of sea level: case study in Ilha Grande Bay, Rio de Janeiro, Brazil Type de document : Article/Communication Auteurs : Julia Caon Araujo, Auteur ; Fabio Ferreira Dias, Auteur Année de publication : 2021 Article en page(s) : pp 53 - 72 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse multicritère
[Termes IGN] changement climatique
[Termes IGN] érosion côtière
[Termes IGN] modèle numérique de terrain
[Termes IGN] montée du niveau de la mer
[Termes IGN] processus de hiérarchisation analytique
[Termes IGN] Rio de Janeiro
[Termes IGN] surveillance du littoral
[Termes IGN] système d'information géographiqueRésumé : (auteur) Current climate changes have several consequences, such as rising sea levels. Today, the identification of coastal vulnerabilities worldwide is necessary to prevent impacts and drive action. The aim of the work was to estimate the vulnerable areas from a total rate of increase in sea level of 2.8 m and to identify the impacts of greater magnitude through the use of hierarchical analysis. The analytic hierarchy process method was used to list the most serious impacts. In addition, the simulation of the most vulnerable sites was carried out in a GIS environment using geoprocessing and a digital terrain model for the area of study. The Ilha Grande Bay region (southeastern Brazil) was chosen as a test area due to its economic, tourist and environmental importance. The main impacts are floods, coastal erosion and loss of coastal ecosystems. The most vulnerable areas are characterized as flat with low slopes, usually coastal plains occupied by environmental protection areas, urban centers and historical centers. The methodology proved to be effective in assessing and forecasting vulnerable areas and can be applied to several types of coastal areas. Numéro de notice : A2021-537 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article DOI : 10.1007/s11069-021-04573-4 Date de publication en ligne : 05/02/2021 En ligne : https://doi.org/10.1007/s11069-021-04573-4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98007
in Natural Hazards > vol 107 n° 1 (May 2021) . - pp 53 - 72[article]GIS-based multi-criteria analysis of the suitability of western Siberian forest-steppe lands / V.K. Kalichkin in Annals of GIS, vol 27 n° 2 (April 2021)
[article]
Titre : GIS-based multi-criteria analysis of the suitability of western Siberian forest-steppe lands Type de document : Article/Communication Auteurs : V.K. Kalichkin, Auteur ; A.I. Pavlova, Auteur ; O.M. Logachova, Auteur Année de publication : 2021 Article en page(s) : pp 225 - 237 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] adaptation (biologie)
[Termes IGN] analyse multicritère
[Termes IGN] base de données localisées
[Termes IGN] blé (céréale)
[Termes IGN] combinaison linéaire ponderée
[Termes IGN] image captée par drone
[Termes IGN] processus de hiérarchisation analytique
[Termes IGN] SibérieRésumé : (auteur) The main purpose of this work is to assess the suitability of land for cultivation of the main agricultural crop of Western Siberia, namely spring wheat. The algorithm of land suitability assessment was developed on the territory of the test plot of land-use of CJSC Mirny, Kochenevsky District, Novosibirsk Region. For assessment of land suitability on the basis of expert knowledge, criteria related to relief and soil, not only known but also specific, inherent in the area under consideration, have been identified. In the absence of information on the topography and relief of the territory under consideration, the spatial database of geodata was created based on the results of high-resolution digital aerial photography from an unmanned aerial vehicle (UAV). Elementary surfaces (ESs) at the micro-relief level have been determined with the help of GIS tools. Two most popular methods of obtaining criterion weights have been analysed: Analytic Hierarchy Process and the direct ranking method, and under certain conditions, a connection between these methods have been established. To assess the land suitability, the land suitability indices of selected ESs were calculated using GIS-MCDA (Multiple-Criteria Decision Analysis) method Weighted linear combination. Based on the value of land suitability index for all ESs, belonging to a certain suitability class according to FAO classification has been established. A map of land suitability with an assessment of spring wheat sowing expediency was obtained. Numéro de notice : A2021-627 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/19475683.2020.1848920 Date de publication en ligne : 08/12/2020 En ligne : https://doi.org/10.1080/19475683.2020.1848920 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98257
in Annals of GIS > vol 27 n° 2 (April 2021) . - pp 225 - 237[article]Using a fully polarimetric SAR to detect landslide in complex surroundings: Case study of 2015 Shenzhen landslide / Chaoyang Niu in ISPRS Journal of photogrammetry and remote sensing, vol 174 (April 2021)PermalinkApplication of fuzzy analytical hierarchy process for assessment of desertification sensitive areas in North West of Morocco / Hicham Ait Kacem in Geocarto international, vol 36 n° 5 ([15/03/2021])PermalinkDevelopment and assessment of rainwater harvesting suitability map using analytical hierarchy process, GIS and RS techniques / Khaled S. Balkhair in Geocarto international, vol 36 n° 4 ([01/03/2021])PermalinkSuitability assessment of urban land use in Dalian, China using PNN and GIS / Ziqian Kang in Natural Hazards, vol 106 n° 1 (March 2021)PermalinkIntegrating runoff map of a spatially distributed model and thematic layers for identifying potential rainwater harvesting suitability sites using GIS techniques / Hamid Karimi in Geocarto international, vol 36 n° 3 ([15/02/2021])PermalinkA GIS- and AHP-based approach to map fire risk: a case study of Kuan Kreng peat swamp forest, Thailand / Narissara Nuthammachot in Geocarto international, vol 36 n° 2 ([01/02/2021])PermalinkMitigating urban visual pollution through a multistakeholder spatial decision support system to optimize locational potential of billboards / Khydija Wakil in ISPRS International journal of geo-information, vol 10 n° 2 (February 2021)PermalinkContributions to graph-based hierarchical analysis for images and 3D point clouds / Leonardo Gigli (2021)PermalinkAn integration of bioclimatic, soil, and topographic indicators for viticulture suitability using multi-criteria evaluation: a case study in the Western slopes of Jabal Al Arab—Syria / Karam Alsafadi in Geocarto international, vol 35 n° 13 ([01/10/2020])PermalinkAssessment of landslide susceptibility at a local spatial scale applying the multi-criteria analysis and GIS: a case study from Slovakia / Jana Vojteková in Geomatics, Natural Hazards and Risk, vol 11 n° 1 (2020)PermalinkGeo-environment risk assessment in Zhengzhou City, China / Chuanming Ma in Geomatics, Natural Hazards and Risk, vol 11 n° 1 (2020)PermalinkReintroduction of the European bison (Bison bonasus) in central-eastern Europe: a case study / Cathlin M. Lord in International journal of geographical information science IJGIS, vol 34 n° 8 (August 2020)PermalinkGIS-based MCDM – AHP modeling for flood susceptibility mapping of arid areas, southeastern Tunisia / Dhekra Souissi in Geocarto international, vol 35 n° 9 ([01/07/2020])PermalinkPrediction of traffic accidents hot spots using fuzzy logic and GIS / Aslam Al-Omari in Applied geomatics, vol 12 n° 2 (June 2020)PermalinkAnalytic hierarchy process based spatial biodiversity impact assessment model of highway broadening in Sikkim Himalaya / Polash Banerjee in Geocarto international, vol 35 n° 5 ([01/04/2020])PermalinkGIS-based modeling for selection of dam sites in the Kurdistan region, Iraq / Arsalan Ahmed Othman in ISPRS International journal of geo-information, vol 9 n° 4 (April 2020)PermalinkGIS-based multi criteria decision making method to identify potential runoff storage zones within watershed / Vikas Kumar Rana in Annals of GIS, vol 26 n° 2 (April 2020)PermalinkMulti-factor of path planning based on an ant colony optimization algorithm / Mingchang Wang in Annals of GIS, vol 26 n° 2 (April 2020)PermalinkSuitable location selection for the electric vehicle fast charging station with AHP and fuzzy AHP methods using GIS / Dogus Guler in Annals of GIS, vol 26 n° 2 (April 2020)PermalinkLand use and land cover change modeling and future potential landscape risk assessment using Markov-CA model and analytical hierarchy process / Biswajit Nath in ISPRS International journal of geo-information, vol 9 n° 2 (February 2020)Permalink