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Modelling geographic accessibility to primary health care facilities : combining open data and geospatial analysis / Olanrewaju Lawal in Geo-spatial Information Science, vol 22 n° 3 (August 2019)  

Public [article]  inGeo-spatial Information Science > vol 22 n° 3 (August 2019) . - pp 174 - 184 Titre : Modelling geographic accessibility to primary health care facilities : combining open data and geospatial analysis Type de document : Article/Communication Auteurs : Olanrewaju Lawal, Auteur ; Felix E. Anyiam, Auteur Année de publication : 2019 Article en page(s) : pp 174 - 184 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] accessibilité [Termes IGN] durée de trajet [Termes IGN] équipement sanitaire [Termes IGN] Nigéria Résumé : (Auteur) Ensuring healthy lives and promoting well-being for all ages is the 3rd Sustainable Development Goal (SDG). Inequality in access to health care remains one of the primary challenges in achieving the goal. With the ever-increasing expansion of urban areas and population growth, there is a need to regularly examine the pattern of accessibility of basic amenities across regions, States and urban areas. This study examined geographic access to Primary Health Care Facilities (PHCF) in Nigeria using the combination of open data and geospatial analysis techniques. Thus, showcasing an approach can be replicated across different regions in Sub-Saharan Africa due to issues of information gap. Data on elevation, location of health care facilities, population and network data were utilised. The result shows that PHCF aggregate at certain locations, e.g. major urban agglomerations, and transit route leading to these places. High concentrations are found in the capital city. The average travel time to the nearest PHCF is about 14 min (Standard Deviation ±13.30 min) while the maximum is about 2 hours. Pockets of low accessibility areas exist across the Akwa Ibom State in the Niger Delta region of Nigeria. There is an indication that most places have good geographic access. Across the 1787 settlements identified in our dataset, 98.3% are with good access (60 min). Geographic access is not the main limiting factor to health care access in the region. Therefore, computation of access to health care should take into consideration other dimensions of accessibility, to create a robust measure which will support effective and efficient health care planning and delivery. Numéro de notice : A2019-326 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10095020.2019.1645508 Date de publication en ligne : 30/07/2019 En ligne : https://doi.org/10.1080/10095020.2019.1645508 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93329 [article]

Bridging open source tools and geoportals for interactive spatial data analytics / Bing She in Geo-spatial Information Science, vol 22 n° 3 (August 2019)  

Public [article]  inGeo-spatial Information Science > vol 22 n° 3 (August 2019) . - pp 185 - 192 Titre : Bridging open source tools and geoportals for interactive spatial data analytics Type de document : Article/Communication Auteurs : Bing She, Auteur ; Tao Hu, Auteur ; Xinyan Zhu, Auteur ; S. Bao, Auteur Année de publication : 2019 Article en page(s) : pp 185 - 192 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] analyse spatiale [Termes IGN] code source libre [Termes IGN] géoportail [Termes IGN] Python (langage de programmation) [Termes IGN] WebSIG Résumé : (Auteur) Geoportals have been the primary source of spatial information to researchers in diverse fields. Recent years have seen a growing trend to integrate spatial analysis and geovisual analytics inside Geoportals. Researchers could use the Geoportal to conduct basic analysis without offline processing. In practice, domain-specific analysis often requires researchers to integrate heterogeneous data sources, leverage new statistical models, or build their own customized models. These tasks are increasingly being tackled with open source tools in programming languages such as Python or R. However, it is unrealistic to incorporate the numerous open source tools in a Geoportal platform for data processing and analysis. This work provides an exploratory effort to bridge Geoportals and open source tools through Python scripting. The Geoportal demonstrated in this work is the Urban and Regional Explorer for China studies. A python package is provided to manipulate this platform in the local programming environment. The server side of the Geoportal implements a set of service endpoints that allows the package to upload, transform, and process user data and seamlessly integrate them into the existing datasets. A case study is provided that illustrated the use of this package to conduct integrated analyses of search engine data and baseline census data. This work attempts a new direction in Geoportal development, which could further promote the transformation of Geoportals into online analytical workbenches. Numéro de notice : A2019-327 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10095020.2019.1645497 Date de publication en ligne : 29/07/2019 En ligne : https://doi.org/10.1080/10095020.2019.1645497 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93332 [article]