Contextualizing local-scale point sample data using global-scale spatial datasets
Lessons learnt from the analysis of large-scale land acquisitions
This paper examines how the geospatial accuracy of samples and sample size influence conclusions from geospatial analyses. It does so using the example of a study investigating the global phenomenon of large-scale land acquisitions and the socio-ecological characteristics of the areas they target.
Authors: Sandra Eckert, Markus Giger, Peter Messerli
- Contribution of spatially explicit evidence for policy requires accurate, detailed spatial data.
- Avoid using national-scale statistics to characterize phenomena having local-scale impact.
- The more geographic contexts vary within a country the more detailed the spatial scale is required.
- Focus on improving the geospatial accuracy of data rather than obtaining a larger sample.
- Uncertainty is introduced by inadequate definition of the shape/size of analysed geographic contexts.