Geog 355 final project on stray dogs in RomaniaDownload

1. The advantage of WLC is that it gives us the ability to assign different weights to our suitability map factors. Tradeoff weights are assigned to every factor which allows us make operations that are a risk balance between the AND operation and the OR operation. Boolean MCE is either extreme risk aversion or extreme … Continue reading Lab 8: Non-Boolean Multi-Criteria Evaluation →

1. In the context of MCE: Boolean is an approach for finding suitable areas based on criteria that states where something can or can’t belong. 2. Multiplication is used more in MCE because when making a suitability map with constraints, we can mask out the areas that are constrained, and retain the suitable area from … Continue reading Lab 7: Boolean Multi-criteria Evaluation →

1. 8, 9, 11, 12, 13, 15, 15, 19, 20, 43 a) Quintiles 1st: 8 & 9 2nd: 11 & 12 3rd: 13 & 15 4th: 15 & 19  5th: 20 & 43 b) 5 equal intervals ( (43 - 8) / 5 = 7 ) 1: 8 - 15 2: 15 - 22 3: … Continue reading Lab 6: Cost Distance and Map Algebra →

1. a) Euclidean distance calculator uses a straight line between 2 points and is based on the Pythagorean equation. An example: calculating the walking distance from a house to the nearest tree without obstacles in the way. Manhattan distance calculator uses a raster grid and calculates the number of pixels to get from A to … Continue reading Lab 5: Distance and Macro Modeller →

1. a) Sketch by hand a model, using the correct symbology, that uses the ‘POLYRAS’ module to rasterize a vector file named ‘Education’, then overlays the new ‘Education’ raster with a raster file image named ‘Malaria’. [1 mark] b) Give an example of a research question that leads you to overlay these two rasters. [1 … Continue reading Lab 4: Cartographic Modelling and Query →