Spatial analysis is a field of study that utilizes geographic or spatial information to understand and analyze patterns, relationships, and trends in data. It is characterized by the use of geographic information, which allows for the analysis of data in the context of its location and surroundings. It is different from aspatial techniques which do not consider the geographic context and may not provide as complete of an understanding of the data. Spatial analysis is applied in a variety of fields which includes urban and regional planning, crime rate investigation, public health studies and epidemiology, environmental science, geosciences, marketing, and to gain insights and make decisions about complex spatial problems. The aim of this review paper is to explain the concept of spatial analysis as a Geographic Information System (GIS) tool, differentiate it from aspatial techniques, discuss different spatial analysis techniques including buffer, interpolation, and kernel density analysis, and highlight its importance. The paper followed a methodology that involved multiple definitions of spatial analysis from various sources. Comparative analysis of spatial and aspatial datasets and techniques was conducted, followed by application of spatial analysis in various fields including land cover classification, public health management, solid waste disposal management, and identification of the impact of urban sprawl. Applications of spatial analysis techniques were also reviewed. The importance of this paper lies in its contribution to the understanding and utilization of spatial analysis as a GIS tool. By explaining the concept, differentiating it from non-spatial techniques, and providing examples of its applications, the paper highlights the significance and potential of spatial analysis in various fields.
| Published in | American Journal of Engineering and Technology Management (Volume 9, Issue 1) |
| DOI | 10.11648/j.ajetm.20240901.12 |
| Page(s) | 8-20 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Aspatial Technique, Buffer Analysis, Epidemiology, Interpolation, Kernel Density
| [1] | ESRI Language of spatial analysis. From https://www.esri.com/content/dam/esrisites/sitescore-archive/Files/Pdfs/library/books/thelanguage-of-spatial-analysis.pdf 2013. |
| [2] | Fotheringham, A. S., Brunsdon, C., Charlton, M Geographically weighted regression: the analysis of spatially varying relationships. John Wiley & Sons, 2000. |
| [3] | Kanade, V What is spatial analysis? Definition, working, and examples. From https://www.spiceworks.com/tech/artificial-intelligence/articles/what-is-spatial-analysis/, 2022. |
| [4] | Goodchild, M. F., Longley, P. A The future of GIS and spatial analysis. Geographical information systems, 1999, 1, 567-580. |
| [5] | Ayuba, B., Mugu, B. A., Tanko, H., Bulus, S. J Geo-Spatial analysis of crime in Kaduna Metropolis, Nigeria. Science World Journal, 2017, 11 (4), eISSN: 1597-6343. |
| [6] | Owoeye, J. O., Akinluyi, F. O Geospatial analysis of land cover change and urban sprawl trend in Akure region, Nigeria. Art Human Open Acc J., 2018, 2 (1), 13-19. DOI: 10.15406/ahoaj.2018.02.00028. |
| [7] | Cordes, J., Castro, M. C. Spatial analysis of COVID-19 clusters and contextual factors in New York City. Spatial and Spatio-temporal Epidemiology, 2020, 34, 100355, ISSN 1877-5845, https://doi.org/10.1016/j.sste.2020.100355. (https://www.sciencedirect.com/science/article/pii/S1877584520300332). |
| [8] | Taran, A., Alfanatseh, A., Rawashdeh, S., Almayouf, F. The Temporal and Spatial Analysis of Corona Pandemic in Jordan using the Geographic Information System: An Applied Geographical Study. Indonesian Journal of Geography, 2023, 55(1), 155-166, ISSN 2354-9114 (online), ISSN 0024-9521 (print), DOI: 10.22146/ijg.73663 website: htps://jurnal.ugm.ac.id/ijg |
| [9] | Elliot, P., Wartenberg, D. Spatial epidemiology: current approaches and future challenges. Environ Health Perspect, 2004, 112(9), 998-1006, doi: 10.1289/ehp.6735. |
| [10] | Volsuuri, E., Owusu-Sekyere, E., Imoro, A. Z. Unequal location, unequal access: the spatial analysis of solid waste disposal services in Northern Ghana. Discov Environ, 2023, 1, 14, https://doi.org/10.1007/s44274-023-00011-3. |
| [11] | Attah, T. O., Alausa, O. A. Geospatial analysis for effective waste management strategies. Proceedings of the 6th National Conference of School of Engineering, Federal Polytechnic Ilaro, Ogun State, Nigeria, 7-9th August, 2023. |
| [12] | Lin, Z., Li, G., Mehmood, M. S., Nie, Q., Zheng, Z. Spatial analysis and optimization of self-pickup points of a new retail model in the Post-Epidemic Era: the case of Community-Group-Buying in Xi’an City. Comput.Urban Sci., 2023, 3(13). https://doi.org/10.1007/s43762-023-00089-8. |
| [13] | Longley, P. A., Goodchild, M. F., Maguire, D. J., Rhind, D. W Geographic Information Science and Systems. John Wiley & Sons, 2015. |
| [14] | Ye, C., Wang, M., Li, J Derivation of the characteristics of the Surface Urban Heat Island in the Greater Toronto area using thermal infrared remote sensing. Remote Sens. Lett., 2017, 8, 637–646. |
| [15] | Swamy, G., Nagendra, S. M. S., Schlink, U Urban heat island (UHI) influence on secondary pollutant formation in a tropical humid environment. J. Air Waste Manag. Assoc., 2017, 67, 1080–1091. |
| [16] | Najafzadeh, F., Mohammadzadeh, A., Ghorbanian, A., Jamali, S Spatial and Temporal Analysis of Surface Urban Heat Island and Thermal Comfort Using Landsat Satellite Images between 1989 and 2019: A Case Study in Tehran. Remote Sensing, 2021, 13 (21), 4469. MDPI AG. Retrieved from http://dx.doi.org/10.3390/rs13214469 |
| [17] | Bwalya, M. R. K., Mukupa, W., Kambole, S Mapping soil organic carbon stocks in Zambia using ordinary kriging. Geoderma Regional, 2013, 1, 1-11. https://doi.org/10.1016/j.geodrs.2013.05.002 |
| [18] | King, T. L., Bentley, R. J., Thornton, L. E., Kavanagh, A. M Using kernel density estimation to understand the influence of neighbourhood destinations on BMI. BMJ open, 2016, 6 (2), e008878. |
| [19] | Scarlett, R Analyzing Toronto Crime Data using Kernel Density. From https://ecce.esri.ca/uoft-blog/2020/08/04/analyzing-toronto-crime-data-using-kernel-density/, 2020. |
APA Style
Charles, A. C., Armstrong, A., Nnamdi, O. C., Innocent, M. T., Obiageri, N. J., et al. (2024). Review of Spatial Analysis as a Geographic Information Management Tool. American Journal of Engineering and Technology Management, 9(1), 8-20. https://doi.org/10.11648/j.ajetm.20240901.12
ACS Style
Charles, A. C.; Armstrong, A.; Nnamdi, O. C.; Innocent, M. T.; Obiageri, N. J., et al. Review of Spatial Analysis as a Geographic Information Management Tool. Am. J. Eng. Technol. Manag. 2024, 9(1), 8-20. doi: 10.11648/j.ajetm.20240901.12
AMA Style
Charles AC, Armstrong A, Nnamdi OC, Innocent MT, Obiageri NJ, et al. Review of Spatial Analysis as a Geographic Information Management Tool. Am J Eng Technol Manag. 2024;9(1):8-20. doi: 10.11648/j.ajetm.20240901.12
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Download@article{10.11648/j.ajetm.20240901.12,
author = {Agoha Chidiebere Charles and Awuzie Armstrong and Onwubuariri Chukwuebuka Nnamdi and Mgbeojedo Tochukwu Innocent and Njoku Joy Obiageri and Akiang Francis Begianpuye and Epuerie Emeka Timothy},
title = {Review of Spatial Analysis as a Geographic Information Management Tool},
journal = {American Journal of Engineering and Technology Management},
volume = {9},
number = {1},
pages = {8-20},
doi = {10.11648/j.ajetm.20240901.12},
url = {https://doi.org/10.11648/j.ajetm.20240901.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajetm.20240901.12},
abstract = {Spatial analysis is a field of study that utilizes geographic or spatial information to understand and analyze patterns, relationships, and trends in data. It is characterized by the use of geographic information, which allows for the analysis of data in the context of its location and surroundings. It is different from aspatial techniques which do not consider the geographic context and may not provide as complete of an understanding of the data. Spatial analysis is applied in a variety of fields which includes urban and regional planning, crime rate investigation, public health studies and epidemiology, environmental science, geosciences, marketing, and to gain insights and make decisions about complex spatial problems. The aim of this review paper is to explain the concept of spatial analysis as a Geographic Information System (GIS) tool, differentiate it from aspatial techniques, discuss different spatial analysis techniques including buffer, interpolation, and kernel density analysis, and highlight its importance. The paper followed a methodology that involved multiple definitions of spatial analysis from various sources. Comparative analysis of spatial and aspatial datasets and techniques was conducted, followed by application of spatial analysis in various fields including land cover classification, public health management, solid waste disposal management, and identification of the impact of urban sprawl. Applications of spatial analysis techniques were also reviewed. The importance of this paper lies in its contribution to the understanding and utilization of spatial analysis as a GIS tool. By explaining the concept, differentiating it from non-spatial techniques, and providing examples of its applications, the paper highlights the significance and potential of spatial analysis in various fields.
},
year = {2024}
}
TY - JOUR T1 - Review of Spatial Analysis as a Geographic Information Management Tool AU - Agoha Chidiebere Charles AU - Awuzie Armstrong AU - Onwubuariri Chukwuebuka Nnamdi AU - Mgbeojedo Tochukwu Innocent AU - Njoku Joy Obiageri AU - Akiang Francis Begianpuye AU - Epuerie Emeka Timothy Y1 - 2024/01/11 PY - 2024 N1 - https://doi.org/10.11648/j.ajetm.20240901.12 DO - 10.11648/j.ajetm.20240901.12 T2 - American Journal of Engineering and Technology Management JF - American Journal of Engineering and Technology Management JO - American Journal of Engineering and Technology Management SP - 8 EP - 20 PB - Science Publishing Group SN - 2575-1441 UR - https://doi.org/10.11648/j.ajetm.20240901.12 AB - Spatial analysis is a field of study that utilizes geographic or spatial information to understand and analyze patterns, relationships, and trends in data. It is characterized by the use of geographic information, which allows for the analysis of data in the context of its location and surroundings. It is different from aspatial techniques which do not consider the geographic context and may not provide as complete of an understanding of the data. Spatial analysis is applied in a variety of fields which includes urban and regional planning, crime rate investigation, public health studies and epidemiology, environmental science, geosciences, marketing, and to gain insights and make decisions about complex spatial problems. The aim of this review paper is to explain the concept of spatial analysis as a Geographic Information System (GIS) tool, differentiate it from aspatial techniques, discuss different spatial analysis techniques including buffer, interpolation, and kernel density analysis, and highlight its importance. The paper followed a methodology that involved multiple definitions of spatial analysis from various sources. Comparative analysis of spatial and aspatial datasets and techniques was conducted, followed by application of spatial analysis in various fields including land cover classification, public health management, solid waste disposal management, and identification of the impact of urban sprawl. Applications of spatial analysis techniques were also reviewed. The importance of this paper lies in its contribution to the understanding and utilization of spatial analysis as a GIS tool. By explaining the concept, differentiating it from non-spatial techniques, and providing examples of its applications, the paper highlights the significance and potential of spatial analysis in various fields. VL - 9 IS - 1 ER -
Department of Geology, Federal University of Technology, Owerri, Nigeria
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