| Original language | English |
|---|---|
| Pages (from-to) | 231-237 |
| Number of pages | 7 |
| Journal | Development in Practice |
| Volume | 15 |
| Issue number | 2 |
| DOIs | |
| State | Published - Apr 2005 |
Funding
We argue in this paper that GIS has some inherent biases with regard to data collection and representation, and that if these biases are not addressed at a theoretical or epistemological level, the use of GIS for addressing gender issues in development will be severely limited. As a primary example we use our own research project funded by the Consultative Group on International Agricultural Research (CGIAR) through the Participatory Research on Gender Analysis (PRGA) initiative. The goal of this project was to use a combination of GIS and qualitative methods (interviews and archival analysis) in order to determine ‘hot spots’ of female poverty in Nepal, Bolivia, and Malawi.
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