Descriptive Spatial Stats Pt. 1 Flashcards
Do you want to categorically summarize or analyze point density?
Kernel density
Do you want to compare the overall clustering or dispersion of points?
Nearest neighbor analysis or quadrat analysis
do you want to test clustering or dispersion at different scales?
Ripley’s K
L function
G function
Cross- K function
Center of minimum distance
central point that minimizes the distance to all other points
Coefficient of localization
- calculate the share of activity for each area like protected areas (area of ecoregion / total protected area)
- calculate the share of the base (% of the world that is taken up by each ecoregion)
- subtract 2-1
- add all the positive results from step 3
- divide the result by 100
Density mapping/density surface
heat maps
interpolation
kernel density
showing distribution of points by how many are in a place
Euclidean distance
straight line as the crow flies distance
Geographic center
K-plot
linear directional mean
summarize average direction of a set of angles
location quotient
Numerator = area of the biome that is protected / total area of that biome protected worldwide
Denominator = total protected area worldwide / total land area in the world
Lorenz curve
accumulation curve
shows inequalities in the distribution of a resource
perfect distribution = diagonal line
any area between perfect line and actual curve of line below the perfect line = misallocation of a resource
Manhattan distance
follows the grid (2 up, 3 right) to get to next point
Mean center
calculated from average of x and y coordinates (average x, average y)
measure of central tendency
What does the area of misallocation represent in a lorenz curve?
the percentage of the activity/resource that is incorrectly allocated
