AFRIGIST JOURNAL OF LAND ADMINISTRATION AND ENVIRONMENTAL MANAGEMENT
This research analyzed desertification and land degradation in the Dambatta Local Government Area... more This research analyzed desertification and land degradation in the Dambatta Local Government Area (LGA) of Kano State with the view to delineating hotspot areas that require intervention. The imageries used for the research analysis were obtained from the National Space Research and Development Agency (NASRDA), Abuja. The data sets were captured by Landsat Multispectral Scanner/Thematic Mapper (MSS/TM) 1997, Landsat Enhanced Thematic Mapper Plus (ETM+) 2007 and Operational Land Imager (OLI) 2017. The Maximum Likelihood Classifier (MLC) algorithm was used for classification. Post classification change detection technique was conducted using ILWIS 5.2 and later converted to shapefiles where it was imported to ArcMap 10.2 GIS software. The result of the classification was presented in tables, which were subsequently compared using the Post Classification Comparison (PCC) technique to estimate and compute temporal and spatial changes as well as the rate and area extent of changes betwee...
This research analyzed the proximity of road traffic crash (RTC) Black Spots to Federal Road Safe... more This research analyzed the proximity of road traffic crash (RTC) Black Spots to Federal Road Safety Commission (FRSC) zebra locations/emergency health care facilities to ascertain the rescue of RTC victims in Federal Capita City (FCC). Geographic Information System (GIS) based location model was applied in the street network analysis to identify RTC black spots that are outside the close reach of FRSC rescue points/health facilities in FCC. Distance was used as impedance factor. Spatial query and buffer analysis were employed to determine accident spots that fall between 2 kms of the health facility and zebra point. Remote Sensing and GIS techniques were applied in proximity analysis using location strategies and interconnected features. The results were presented on road network maps. The result suggests that five (5) additional zebra points would be effective in terms of proximity to RTC in the area and would considerably improve spatial coverage for response times. The areas wher...
This research studied the spatial patterns of secondary schools in selected parts of Benue state ... more This research studied the spatial patterns of secondary schools in selected parts of Benue state with the aim of identifying the pattern of distribution of secondary schools and its implications in the state. The objectives of the study were to establish spatial patterns and assess spatial relationships. The study adopted field observation and measurement to obtain the needed data. GIS and inferential statistical techniques were employed to map, visualize and analyze the data. In Logo Local Government Area, the Nearest Neighbour Index (NNI = 0.533139) is higher than the Z-score value (-3.893099). The implication is clustering of schools in the area. In Gboko Local Government Area, the Nearest Neighbour Index (NNI = 0.700016) was higher than the Z-score value (-5.165005). This also implies that the schools in the area are clustered. In Obi Local Government area, the Z-score value (1.191313) was higher than the Nearest Neighbour Index (NNI = 1.146777). This implies that there is a dispersion pattern of schools' distribution in the area. The result showed a randomly distributed pattern of the schools in the area. The distribution turned towards clustering in Logo and Gboko Local Government Areas and towards dispersion in Obi Local Government Area. It is recommended that further research be conducted on the use of GIS for schools mapping and to create a database that can easily be updated at desirable intervals to cover the entire state for effective and efficient decision making.
This research studied the factors affecting the spatial distribution of secondary schools in some... more This research studied the factors affecting the spatial distribution of secondary schools in some parts of Benue State. The objective of the study was to assess the spatial relationship that exists between relief, population, land area covered by the districts and the schools distributed in the districts. The study adopted survey, field observation and measurement to obtain the needed data. Population of 2006 census was collected and projected at 2.9% to get the current population of the study area. ArcGIS 10.1 was used to produce the relief maps of the study area and establish the relationship between relief and the schools' patterns. It was also used to compute the land area covered by the districts using digital map. Descriptive and inferential statistical techniques were employed to analyze the data. The result shows that relief is the most predominant factor affecting the spatial distribution of schools in the three Local Government Areas. A disproportionate relationship exists between population, land mass and schools. This disproportionate relationship weakens the strength for ascertaining the findings on the effects of population and landmass on spatial distribution of schools in the area. This study recommends that further research should be conducted using GIS database analysis and more robust inferential statistical techniques to validate the result and establish spatial reality of the findings.
This research analyzed the proximity of road traffic crash (RTC) Black Spots to Federal Road Safe... more This research analyzed the proximity of road traffic crash (RTC) Black Spots to Federal Road Safety Commission (FRSC) zebra locations/emergency health care facilities to ascertain the rescue of RTC victims in Federal Capita City (FCC). Geographic Information System (GIS) based location model was applied in the street network analysis to identify RTC black spots that are outside the close reach of FRSC rescue points/health facilities in FCC. Distance was used as impedance factor. Spatial query and buffer analysis were employed to determine accident spots that fall between 2 kms of the health facility and zebra point. Remote Sensing and GIS techniques were applied in proximity analysis using location strategies and interconnected features. The results were presented on road network maps. The result suggests that five (5) additional zebra points would be effective in terms of proximity to RTC in the area and would considerably improve spatial coverage for response times. The areas where quick response and medical facilities are insufficient were identified. Optimal locations for siting zebra points that can effectively service RTC black spots were proposed.
AFRIGIST JOURNAL OF LAND ADMINISTRATION AND ENVIRONMENTAL MANAGEMENT
This research analyzed desertification and land degradation in the Dambatta Local Government Area... more This research analyzed desertification and land degradation in the Dambatta Local Government Area (LGA) of Kano State with the view to delineating hotspot areas that require intervention. The imageries used for the research analysis were obtained from the National Space Research and Development Agency (NASRDA), Abuja. The data sets were captured by Landsat Multispectral Scanner/Thematic Mapper (MSS/TM) 1997, Landsat Enhanced Thematic Mapper Plus (ETM+) 2007 and Operational Land Imager (OLI) 2017. The Maximum Likelihood Classifier (MLC) algorithm was used for classification. Post classification change detection technique was conducted using ILWIS 5.2 and later converted to shapefiles where it was imported to ArcMap 10.2 GIS software. The result of the classification was presented in tables, which were subsequently compared using the Post Classification Comparison (PCC) technique to estimate and compute temporal and spatial changes as well as the rate and area extent of changes betwee...
This research analyzed the proximity of road traffic crash (RTC) Black Spots to Federal Road Safe... more This research analyzed the proximity of road traffic crash (RTC) Black Spots to Federal Road Safety Commission (FRSC) zebra locations/emergency health care facilities to ascertain the rescue of RTC victims in Federal Capita City (FCC). Geographic Information System (GIS) based location model was applied in the street network analysis to identify RTC black spots that are outside the close reach of FRSC rescue points/health facilities in FCC. Distance was used as impedance factor. Spatial query and buffer analysis were employed to determine accident spots that fall between 2 kms of the health facility and zebra point. Remote Sensing and GIS techniques were applied in proximity analysis using location strategies and interconnected features. The results were presented on road network maps. The result suggests that five (5) additional zebra points would be effective in terms of proximity to RTC in the area and would considerably improve spatial coverage for response times. The areas wher...
This research studied the spatial patterns of secondary schools in selected parts of Benue state ... more This research studied the spatial patterns of secondary schools in selected parts of Benue state with the aim of identifying the pattern of distribution of secondary schools and its implications in the state. The objectives of the study were to establish spatial patterns and assess spatial relationships. The study adopted field observation and measurement to obtain the needed data. GIS and inferential statistical techniques were employed to map, visualize and analyze the data. In Logo Local Government Area, the Nearest Neighbour Index (NNI = 0.533139) is higher than the Z-score value (-3.893099). The implication is clustering of schools in the area. In Gboko Local Government Area, the Nearest Neighbour Index (NNI = 0.700016) was higher than the Z-score value (-5.165005). This also implies that the schools in the area are clustered. In Obi Local Government area, the Z-score value (1.191313) was higher than the Nearest Neighbour Index (NNI = 1.146777). This implies that there is a dispersion pattern of schools' distribution in the area. The result showed a randomly distributed pattern of the schools in the area. The distribution turned towards clustering in Logo and Gboko Local Government Areas and towards dispersion in Obi Local Government Area. It is recommended that further research be conducted on the use of GIS for schools mapping and to create a database that can easily be updated at desirable intervals to cover the entire state for effective and efficient decision making.
This research studied the factors affecting the spatial distribution of secondary schools in some... more This research studied the factors affecting the spatial distribution of secondary schools in some parts of Benue State. The objective of the study was to assess the spatial relationship that exists between relief, population, land area covered by the districts and the schools distributed in the districts. The study adopted survey, field observation and measurement to obtain the needed data. Population of 2006 census was collected and projected at 2.9% to get the current population of the study area. ArcGIS 10.1 was used to produce the relief maps of the study area and establish the relationship between relief and the schools' patterns. It was also used to compute the land area covered by the districts using digital map. Descriptive and inferential statistical techniques were employed to analyze the data. The result shows that relief is the most predominant factor affecting the spatial distribution of schools in the three Local Government Areas. A disproportionate relationship exists between population, land mass and schools. This disproportionate relationship weakens the strength for ascertaining the findings on the effects of population and landmass on spatial distribution of schools in the area. This study recommends that further research should be conducted using GIS database analysis and more robust inferential statistical techniques to validate the result and establish spatial reality of the findings.
This research analyzed the proximity of road traffic crash (RTC) Black Spots to Federal Road Safe... more This research analyzed the proximity of road traffic crash (RTC) Black Spots to Federal Road Safety Commission (FRSC) zebra locations/emergency health care facilities to ascertain the rescue of RTC victims in Federal Capita City (FCC). Geographic Information System (GIS) based location model was applied in the street network analysis to identify RTC black spots that are outside the close reach of FRSC rescue points/health facilities in FCC. Distance was used as impedance factor. Spatial query and buffer analysis were employed to determine accident spots that fall between 2 kms of the health facility and zebra point. Remote Sensing and GIS techniques were applied in proximity analysis using location strategies and interconnected features. The results were presented on road network maps. The result suggests that five (5) additional zebra points would be effective in terms of proximity to RTC in the area and would considerably improve spatial coverage for response times. The areas where quick response and medical facilities are insufficient were identified. Optimal locations for siting zebra points that can effectively service RTC black spots were proposed.
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Papers by David Aule
objective of the study was to assess the spatial relationship that exists between relief, population, land area covered by the
districts and the schools distributed in the districts. The study adopted survey, field observation and measurement to obtain
the needed data. Population of 2006 census was collected and projected at 2.9% to get the current population of the study
area. ArcGIS 10.1 was used to produce the relief maps of the study area and establish the relationship between relief and the
schools' patterns. It was also used to compute the land area covered by the districts using digital map. Descriptive and
inferential statistical techniques were employed to analyze the data. The result shows that relief is the most predominant
factor affecting the spatial distribution of schools in the three Local Government Areas. A disproportionate relationship
exists between population, land mass and schools. This disproportionate relationship weakens the strength for ascertaining
the findings on the effects of population and landmass on spatial distribution of schools in the area. This study recommends
that further research should be conducted using GIS database analysis and more robust inferential statistical techniques to
validate the result and establish spatial reality of the findings.
objective of the study was to assess the spatial relationship that exists between relief, population, land area covered by the
districts and the schools distributed in the districts. The study adopted survey, field observation and measurement to obtain
the needed data. Population of 2006 census was collected and projected at 2.9% to get the current population of the study
area. ArcGIS 10.1 was used to produce the relief maps of the study area and establish the relationship between relief and the
schools' patterns. It was also used to compute the land area covered by the districts using digital map. Descriptive and
inferential statistical techniques were employed to analyze the data. The result shows that relief is the most predominant
factor affecting the spatial distribution of schools in the three Local Government Areas. A disproportionate relationship
exists between population, land mass and schools. This disproportionate relationship weakens the strength for ascertaining
the findings on the effects of population and landmass on spatial distribution of schools in the area. This study recommends
that further research should be conducted using GIS database analysis and more robust inferential statistical techniques to
validate the result and establish spatial reality of the findings.