Simulation of Mountain Population Distribution Based on Multi-source Spatial Data

doi:10.6046/gtzyyg.2012.02.12

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Abstract Population resources are key factors for the development of mountain areas. The distribution conditions of population resources reflect and determine to some extent socio-economic development and sustainable development of mountainous areas. In this paper, a newer population data spatialized model for mountain areas is developed based on existing methods and factors influencing population distribution of mountain areas. Based on population census data in 2007, this paper analyzed the relationships between the distribution of residential areas and terrain, land use, roads, and rivers by using the GIS software and taking the residential area as an important indicator to population distribution. Based on multiple spatial sources data fusion technology, the authors dealt with the concept of settlements buffer,assigned the weight values of affecting factors objectively, and realized the spatialization of population census data for mountain areas completely. The result shows that there are correlations of ratio (>0.80) between the population density generated by data fusion and the actual population census data at the township level, and the result is reliable. The finally generated grid population density lays an important basic data foundation for the further analysis of the pattern of population distribution in mountain areas.

Keywords Landsat ETM⁺ image Zijinshan mountain copper-gold mineral deposit interpretation of structure potential ore-prospecting area

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Issue Date: 03 June 2012

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Cite this article:

LI Ming. Simulation of Mountain Population Distribution Based on Multi-source Spatial Data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(2): 61-67.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2012.02.12 OR https://www.gtzyyg.com/EN/Y2012/V24/I2/61

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