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Applications of spatial statistics / Ming Hung (2016)  

Public Titre : Applications of spatial statistics Type de document : Monographie Auteurs : Ming Hung, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2016 Importance : 154 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-953-51-2757-4 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] automate cellulaire [Termes IGN] croissance urbaine [Termes IGN] données localisées [Termes IGN] géostatistique [Termes IGN] interpolation spatiale [Termes IGN] planification urbaine [Termes IGN] qualité de vie [Termes IGN] revenu [Termes IGN] statistiques [Termes IGN] structure d'un peuplement forestier [Termes IGN] transport [Termes IGN] variogramme Résumé : (éditeur) Spatial statistics has been widely used in many environmental studies. This book is a collection of recent studies on applying spatial statistics in subjects such as demography, transportation, precision agriculture and ecology. Different subjects require different aspects of spatial statistics. In addition to quantitative statements from statistics and tests, visualization in forms of maps, drawings, and images are provided to illustrate the relationship between data and locations. This book will be valuable to researchers who are interested in applying statistics to spatial data, as well as graduate students who know statistics and want to explore how it can be applied to spatial data. With the processing part being simplified to several mouse clicks by commercial software, one should pay more attention to justification of using spatial statistics, as well as interpretation and assessment of the results. GIScience proves to be a useful tool in visualization of spatial data, and such useful technology should be utilized, as part, for the interpretation and assessment of the results. Note de contenu : 1- Application of spatial statistics in transportation engineering 2- Comparison of spatial interpolation techniques using visualization and quantitative assessment 3- Wage concentration in Spain: A spatial analysis 4- Spatial optimization of urban cellular automata model 5- Structural diversity of plant populations: Insight from spatial analyses 6- Practical value of user‐centred spatial statistics for responsive urban planning Numéro de notice : 25935 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/MATHEMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.5772/61666 En ligne : https://doi.org/10.5772/61666 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96262

Assessment of quality of life in Uttarakhand, India using geospatial techniques / K.R. Rao in Geocarto international, vol 27 n° 4 (July 2012)  

Public [article]  inGeocarto international > vol 27 n° 4 (July 2012) . - pp 315 - 328 Titre : Assessment of quality of life in Uttarakhand, India using geospatial techniques Type de document : Article/Communication Auteurs : K.R. Rao, Auteur ; Y. Kant, Auteur ; N. Gahlaut, Auteur ; P.S. Roy, Auteur Année de publication : 2012 Article en page(s) : pp 315 - 328 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] base de données répartie [Termes IGN] données socio-économiques [Termes IGN] image Landsat-MSS [Termes IGN] Mapserver [Termes IGN] montagne [Termes IGN] qualité de vie [Termes IGN] température au sol [Termes IGN] Uttarakhand (Inde ; état) Résumé : (Auteur) Uttarakhand state, located in northern India, has a total geographic area of 51,125km2. Ninety-three per cent of the state is mountainous whereas 64% is forested area, and the cities of the region has different living standards. The Quality of Life (QOL) is assessed in the state by using remote sensing-derived parameters along with the census data warehouse in geospatial environment. The study develops a methodology to measure the QOL in the state using geospatial techniques. The study addresses use of Landsat MSS satellite imagery to estimate environmental parameters like vegetation fraction, impervious surface fraction and land surface temperature. Census of India details were integrated along with remote sensing data-derived parameters in the GIS environment. Factor analysis was conducted to interpret the input parameters for the assessment of QOL index. In this process, three indices were generated (crowdedness, greenness and economic indices). These indices were further processed to estimate the overall QOL index of Uttarakhand. All types of spatial maps were published in the distributed environment using open source internet GIS technologies. Numéro de notice : A2012-333 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.627470 Date de publication en ligne : 06/01/2012 En ligne : https://doi.org/10.1080/10106049.2011.627470 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31779 [article]

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