This post by Brandon Martin-Anderson details a way to disaggregate spatial data - for example, census data is normally provided at an administrative level like meshblock in NZ or census tracts in the USA but this may not appropriately represent the underlying data.
The aim of disaggregating the data is to estimate the underlying distribution of the data which has been aggregated. For example, locations of households rather than the total number of households in a meshblock. The tool proposed is Java based and can produce a CSV (comma delimited file).
Worth a look if you're interested in using alternative ways of visualising your data - but be careful - it can seem more accurate than it actually is!
No comments:
Post a Comment