AI-GEOSTATS: regression based on distance
- Dear list,
my collegue is dealing with economical potential of towns in NE Hungary.
I have two questions in connection with supporting his works with GIS
programming: I have calculated distances between the towns in straight
line, and calculated the time needed to reach one town from an other
across road network using traffic speed restrictions on road categories.
My first question is: Is there any sense to look after regression (there
is a linear dependence) between the calculated distances from a town to
the nearest highway and the economic potential? I have not read about
spatial regression calculated on distance and a random variable other
than geostatistical approach.
My other problem is: We have two data sequences for the calculated
"economic potential". I would like to calculate a measure to compare the
two mapped datasets. I am interested in mainly those places where the
two datasets have significantly different trends, i.e. some kind of
local regression between them.
I could map simple the difference between them, but the measures (one in
km, the other is in minutes) are not comparable even in magnitude.
I have scaled them to 100 and mapped the difference of the scaled data,
but I am not sure wheter this calculation has any sense.
Could someone offer me a method to calculate a measure for locally
comparing the two mapped datasets, please, and some points to
publications in the theme?
Thank you in advance
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