Spatial analysis and autocorrelation of population growth in Zamboanga Sibugay Province: A GIS-based analysis from census data and projections

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Research Paper 10/04/2024
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Spatial analysis and autocorrelation of population growth in Zamboanga Sibugay Province: A GIS-based analysis from census data and projections

Rosienie D. Gallardo, Brithney Shane Q. Oquete, Nehimiah F. Marquez
J. Biodiv. & Environ. Sci. 24(4), 85-91, April 2024.
Copyright Statement: Copyright 2024; The Author(s).
License: CC BY-NC 4.0

Abstract

Using Geographic Information System (GIS) techniques on census data and projections, this study presents a thorough spatial analysis of population dynamics within Zamboanga Sibugay Province, Philippines, demonstrating patterns of population distribution, density, and growth.  The research reveals trends in population changes over time by using spatial analysis through GIS and secondary data analysis. It reveals notable population increases within the province, particularly in the capital municipality of Ipil, which is attributed to urbanization and the centralization of economic opportunities. The method used estimates future population growth using the Geometric Projection Formula, showing a continuous upward trend throughout the province. By identifying outliers and clusters of similar growth rates, spatial analysis—including Local Moran’s I analysis which provides a more intricate understanding of population distribution and its implications for infrastructure development and resource allocation. The findings demonstrate that while some municipalities face depopulation and significant population growth, indicating trends toward urbanization, others observe substantial population growth, underscoring development disparities and the necessity of focused interventions. The study concludes that Zamboanga Sibugay Province faces uneven population growth, which has consequences for strategic planning related to services, infrastructure, and economic opportunities in order to support growth and reduce disparities.

Almquist ZW, Butts CT. 2012. Point process models for household distributions within small areal units. Demogr. Res. 26, 593–632. http://dx.doi.org/10.4054/DemRes.2012.26.22.

Chi G, Ventura SJ. 2011. Population Change and Its Driving Factors in Rural, Suburban, and Urban Areas of Wisconsin, USA, 1970–2000. International Journal of Population Research 2011, 1–14. https://doi.org/10.1155/2011/856534

Clarke JI. 1972. Population geography. Second Edition, Oxford: Pergamon Press.

Geospatial Analysis – Spatial and GIS analysis techniques and GIS Software. (n.d.). http://www.spatialanalysisonline.com

Hachadoorian L, Gaffin S, Engelman R. 2011. Projecting a gridded population of the world using ratio methods of trend extrapolation. In: Cincotta, R.P., Gorenflo, L.J. (Eds.), Human Population, Ecological Studies. Springer, Berlin Heidelberg, pp. 13–25.

Haining RP, Group TF, Li G. 2021. Modelling Spatial and Spatial-Temporal Data. CRC Press. http://books.google.ie/books?id=qwqVzgEACAAJ&dq=Spatial+Data+Analysis:+Theory+and+Practice%22+by+Robert+Haining+(ISBN:+978-0521774372).&hl=&cd=3&source=gbs_api

Harris R, Jarvis C. 2014. Statistics for Geography and Environmental Science. Routledge. http://books.google.ie/books?id=neN9AwAAQBAJ&printsec=frontcover&dq=%22Statistics+in+Geography%22+by+David+Ebdon+(ISBN:+978-0631136880)&hl=&cd=2&source=gbs_api

Linard C, Gilbert M, Snow RW, Noor AM, Tatem AJ. 2012. Population Distribution, Settlement Patterns and Accessibility across Africa in 2010. PLoS ONE 7(2), e31743. https://doi.org/10.1371/journal.pone.0031743

Matthews SA, Parker DM. 2013. Progress in spatial demography. Demogr. Res. 28, 271–312.

Salvati L. 2011. The spatial nexus between population growth and land degradation in a dry Mediterranean region: a rapidly changing pattern? International Journal of Sustainable Development & World Ecology 19(1), 81–88. https://doi.org/10.1080/13504509.2011.593007

Zamboanga Sibugay Profile – PhilAtlas. 1903. https://www.philatlas.com/mindanao/r09/zamboanga-sibugay.html

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