Abstract
This paper presents an evaluation of the Heuristic for Locating Cells (HLC) [1] for identifying optimal sites in raster maps. The optimal sites are the result of a trade-off between the on-site suitability of individual cells, their spatial configuration, and their off-site impact at the watershed outlet. The evaluation is targeted to a case of reforestation in two sub-basins within the Tabacay catchment in the southern Andes of Ecuador. The case is set up to locate a predefined number of cells 1) forming a compact patch, 2) minimizing sediment reaching the watersheds outlet, and 3) maximizing cell-specific performance, i.c. carbon sequestration and monetary income as a result of reforestation with pine trees. The evaluation confirms that the heuristic is capable of identifying high quality compact patches of cells with maximal on-site performance while minimizing sediment delivery.
| Original language | English |
|---|---|
| Title of host publication | 2nd International Conference on Advanced Geographic Information Systems, Applications, and Services, GEOProcessing 2010 |
| Pages | 15-20 |
| Number of pages | 6 |
| DOIs | |
| State | Published - 2010 |
| Event | 2nd International Conference on Advanced Geographic Information Systems, Applications, and Services, GEOProcessing 2010 - St. Maarten Duration: 10 Feb 2010 → 16 Feb 2010 |
Publication series
| Name | 2nd International Conference on Advanced Geographic Information Systems, Applications, and Services, GEOProcessing 2010 |
|---|
Conference
| Conference | 2nd International Conference on Advanced Geographic Information Systems, Applications, and Services, GEOProcessing 2010 |
|---|---|
| City | St. Maarten |
| Period | 10/02/10 → 16/02/10 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 15 Life on Land
Keywords
- Flow minimization
- Heuristic
- Integer programming
- Site allocation
- Site location
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