The application of geomatics for Integrated Land Management (ILM) often focuses on analysis and modelling of bio-physical dimensions of a study area. However, data about human dimensions, such as socioeconomic conditions of communities within a region, are equally important to consider as key drivers behind various ILM scenarios. Incorporating socio-economic conditions of communities in a spatially-explicit manner presents a number of challenges due to differences in spatial frameworks associated with human and biophysical data. This paper presents an approach for integrating socio-economic data for ILM analysis that allows better geospatial alignment and integration of human and biophysical dimensions, and further allows for a more local, contextual analysis of the relationships and dependencies particular communities have with the surrounding landscape and its resources. It does this using a concept of communities as ‘human habitats’ whereby each community in a region can be analyzed in terms of how it ...
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