The study demonstrated that spatial analysis with relevant socio-economic sources and physical parameter from different sources can be evaluated for the filling station sites planning. This has demonstrated the importance of Geographic Information System (GIS) application in predicting and determining of site criteria for filling stations facilities development, most especially in areas where there is land uses competition which requires consumer accessibility, sustainability, environmental safety, environmentally sensitive development solutions, etc. A stratified sampling technique was used to select the sample size and administration of the questionnaire. The data collected was analyzed using descriptive statistics such as frequency distribution, bar chart, pie chart and percentage and maps showing the sampled existing filling stations in the study area. The result shows the distribution of filling stations located across the study area. This study shows that GIS and multi-criteria analysis are essential tools to assist in correct siting to national planners and decision-makers in deciding the most appropriate filling stations location pattern to apply in Minna and its environs. Keywords: GIS, filling stations, spatial distribution, location, distance. References Aklilu, A., & Necha, T. (2018). Analysis of the spatial accessibility of addis Ababa’s light rail transit: The case of East–West corridor. Urban Rail Transit, 4(1), 35-48. doi:10.1007/s40864-018-0076-6 Dhiman, R., Kalbar, P., & Inamdar, A. B. (2019). Spatial planning of coastal urban areas in india: Current practice versus quantitative approach. Ocean and Coastal Management, 182 doi:10.1016/j.ocecoaman.2019.104929 Tah, D.S (2017). GIS-based locational analysis of Petrol filling stations in Kaduna metropolis: Science World Journal, Vol 12(2): 8-12.  Emakoji, M.A., and Otah K.N (2018). Managing Filling Stations Spatial Database  using an innovative GIS tool- a case study of Afipko City in Nigeria: Asian Journal of Geographical Research, 1(2):1-9, 2018 Jahangiri, M., Ghaderi, R., Haghani, A., & Nematollahi, O. (2016). Finding the best locations for establishment of solar-wind power stations in middle-east using GIS: A review. Renewable and Sustainable Energy Reviews, 66, 38-52. doi:10.1016/j.rser.2016.07.069 Jelokhani-Niaraki, M., Hajiloo, F., & Samany, N. N. (2019). A web-based public participation GIS for assessing the age-friendliness of cities: A case study in tehran, iran. Cities, 95 doi:10.1016/j.cities.2019.102471 Loidl, M., Witzmann-Müller, U., & Zagel, B. (2019). A spatial framework for planning station-based bike sharing systems. European Transport Research Review, 11(1) doi:10.1186/s12544-019-0347-7 Ma, Y., & Gopal, S. (2018). Geographicallyweighted regression models in estimating median home prices in towns of massachusetts based on an urban sustainability framework. Sustainability (Switzerland), 10(4) doi:10.3390/su10041026 Maanan, M., Maanan, M., Rueff, H., Adouk, N., Zourarah, B., & Rhinane, H. (2018). Assess the human and environmental vulnerability for coastal hazard by using a multi-criteria decision analysis. Human and Ecological Risk Assessment, 24(6), 1642-1658. doi:10.1080/10807039.2017.1421452 Khahro, S. H., Matori, A. N., Chandio, I. A., & Talpur, M. A. H. (2014). Land Suitability Analysis for Installing New Petrol Filling Stations Using GIS. Procedia Engineering, 77, 28–36. doi:10.1016/j.proeng.2014.07.024 Mustapha, O.O (2016). Assessment of filling stations in Illorin, Kwara State, Nigeria using Geospatial technologies, IJSRCSEIT vol 1(2) 69-73, 2016 Naboureh, A., Feizizadeh, B., Naboureh, A., Bian, J., Blaschke, T., Ghorbanzadeh, O., & Moharrami, M. (2019). Traffic accident spatial simulation modeling for planning of road emergency services. ISPRS International Journal of Geo-Information, 8(9) doi:10.3390/ijgi8090371 Peprah (2018). Suitability analysis of siting oil and gas filling station using multi-criteria decision analysis and GIS approach- a case study of Tarkwa and environs- Ghana: Journal of Geomatics, vol 12(2): 158-166, 2018 Sacramento Gutierres, F., Torrente, A. O., & Torrent-Moreno, M. (2019). Responsive geographical information systems for spatio-temporal analysis of mobile networks in barcelona. Architecture, City and Environment, 14(40), 163-192. doi:10.5821/ace.14.40.5349 Vaz, E., Lee, K., Moonilal, V., & Pereira, K. (2018). Potential of geographic information systems for refugee crisis: Syrian refugee relocation in urban habitats. Habitat International, 72, 39-47. doi:10.1016/j.habitatint.2017.02.001   Copyright (c) 2019 Geosfera Indonesia Journal and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

The most important indices of defining general welfare and quality of life of people in the world are the physical and mental health of individuals. This study attempts to examine GIS solution in the spatial analysis of health facilities in Makurdi local government area of Benue State, through mapping of the existing health facilities located in the study area, their spatial distribution pattern, identify areas with marginal services and propose a model for the future development as well examine the availability and accessibility of the existing health facilities, e.g (road network, travel time, distance covered and queuing time). The” Nearest neighbour analysis” Geospatial statistical method was employed to determine the spatial distribution pattern of the existing health facilities in other to determine the area of limited service and accessibility to healthcare facilities. The findings indicated that the healthcare facilities are randomly distributed; Fiidi ward was discovered to have limited service as regards the healthcare facilities in the study area. In line with the findings, recommendations were made on the use of GIS to build a concept that can be followed and replicated in divergent social-economic and political contexts. Conclusively, the study had shown that GIS is a vital tool in healthcare facility analysis and also in live application issues and thus should be encouraged in Nigeria for national economic transformation and sustainable development.   keywords: Health, GIS, Mapping, Location

This research work examined the effectiveness of cartographic method as a tool in the illustration of research data, by examining the role cartographic method has over descriptive method, it effectiveness, and process involved; in Delta State University Abraka. In line with these a structured questionnaires were administered to 200 student from various levels of study; that is from 100 to M.sc level and some question­naire were also administered to some lecturers of the department in other to obtain information on the effectiveness of cartographic method usage. The data generated where analysed using the spearman’s rank correlation and the student’s’ test. For the spearman rank analysis, the test revealed that the calculated t value (8.53) is greater than the tabulated t value (2.35) at 5% level of significance, the student‘t’ test analysis showed that the calculated t value (0.00) is less than the tabulated value (2.78) at 5% level of significance. The result of the research at the end of the day reveals that, there is a strong relationship within all the level of study based on the cartographic technique employed in research data illustration. On the other hand, with the use of statistical diagram and map, it shown that with the information extracted there is no strong relationship between the two methods. Based on the findings, recommendations were made on the use of cartographic method toward adequate coverage of the entire study topic.