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October 10 2019


GIS-based Network Analysis for Optimisation of Public Facilities Closure: A Study on Libraries in Leicestershire, United Kingdom

Many public facilities in the United Kingdom are being closed without consideration to their users, leading to social exclusion. Hence, this study investigated the use of geographical information systems (GIS) in identifying public facilities which can be closed while saving cost and minimizing distance, using the libraries in Leicestershire as case study. Data for the study were obtained from secondary sources through the internet. This study used the location-allocation tool model, within the geographical information environment, to identify a set of libraries that should be closed in Leicestershire to save 20% cost and optimised for the needs of unemployed people, children of school age and pensioners (people over 65 years). Based on these considerations, the study identified the following ten libraries for closure: Barwell, Blaby, Cosby, Desford, Enderby, Groby, Hathern, Kirby Muxloe, Mounstsorrel and Sapcote. If this is adopted, it therefore means that the distance that users will need to travel from their homes to libraries in the new order would have been minimised and access not denied. This study has therefore demonstrated the use of GIS in decision making. This method is an innovation in the use of the model and should be used to evaluate library accessibility and identify those that could be closed without much negative impacts at the national level and for other facilities elsewhere.

Please read full article : - www.journaljgeesi.com

October 02 2019


Spatial Evaluation of Droughts Using Selected Satellite-based Indices in the Upper Tana River Watershed, Kenya

Aims: To identify the most appropriate drought indices for the identification and monitoring of historical meteorological and agricultural drought incidences and to explore the spatial characteristics of these droughts.

Study design: GIS-based empirical research design.

Place and Duration of Study: Upper Tana River Watershed, Kenya drought analysis covering a period of 1981 to 2013.

Methodology: National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) provided raster maps for Normalized Difference Vegetation Index (NDVI) agricultural drought index, while GeoClim databased through Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) was used for retrieval of raster maps for Standardized Precipitation Index (SPI) meteorological drought index. ArcGIS version 10.3.1 facilitated image enhancement and correction for better visualization and interpretation.

Results: Agricultural drought years were in 1983, 1987, 1993, 1996, 2000, 2004, 2005, 2008, and 2009 while meteorological drought years were in 1983, 1984, 1992, 1996, 1999, 2002, 2003, and 2011.

Conclusion: Meteorological drought triggered events of agricultural drought. Both droughts showed a widespread pattern and were found to manifest at relatively same intervals during the study period.

Please read full article : - www.journalijpss.com
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