See
Fotheringham, A. S., Crespo, R., & Yao, J. (2015). Geographical and
Temporal Weighted Regression (GTWR). *Geographical Analysis*, 1–22.
https://doi.org/10./gean.12071
Gollini, I., Lu, B., Charlton, M., Brunsdon, C., & Harris, P. (2015).
GWmodel: An R Package for Exploring Spatial
Thank you for you answer, Michael,
I am new to the use of R for spatial analyses.
I have always used QGIS for this kind of operations, but this time I need
to repeat the area calculation with thousands of polygons several times in
a loop, so I switched to R.
Actually, what my work needs is the
On 06/27/2018 05:29 PM, Michael Sumner wrote:
> Raster uses a (discretized) cosine-of-latitude approximati (popular amongst
> longlat map makers).
As far as I can tell, raster branches into the libgeographic code
(copied into the package sources, although Karney is not mentioned as
one of the
Raster uses a (discretized) cosine-of-latitude approximati (popular amongst
longlat map makers).
QGIS uses a project to local equal area projection method or maybe some
other approach.
There's lots and f options, all that matters is what your work needs.
Cheers, Mike
On Wed, 27 Jun 2018, 22:14
Dear List,
I am trying to use R ("sp" and "raster" packages) to calculate the area of
several polygons (CRS of the shapefile EPSG: 4326 - WGS84).
I used this line of code:
shapefile_name$area_km2 <- area(shapefile_name)/100
However, when I used QGIS to calculate the area of the same
Good day!
Does anyone here have experience or code for fitting geographically
weighted regression (GWR) for panel data. For example, I need to determine
the effect of independent variable X1, X2, and X3 to Y which are all
collected for T1 to Tn. I have experience in fitting GWR for
