Closed mitchellmanware closed 4 months ago
@eva0marques
I created a new function, calc_return_locs
, which:
calc_check_time
checkgeom = TRUE
, converts the data.frame
with geometry to SpatVector
The SpatVector
-> data.frame
-> SpatVector
is not the most efficient way to do this, but this process at least adds the return as spatial object functionality for the manuscript. I will work on making the workflow more efficient (with calc_prepare_locs
and calc_worker
) in the future.
https://github.com/NIEHS/amadeus/commit/17ed941693786d8e7c49e7346d76956ada17326d (ignore the incorrect commit message)
> c <- calc_narr(
+ a,
+ wod,
+ "NAME",
+ geom = FALSE
+ )
Detected `SpatVector` (polygons) extraction locations...
Calculating air.2m covariates at for 2018-01-01...
Calculating air.2m covariates at for 2018-01-02...
Returning extracted covariates.
> c
NAME time air.2m_0
1 Orange 2018-01-01 266.8416
2 Durham 2018-01-01 267.1144
3 Wake 2018-01-01 267.2367
4 Orange 2018-01-02 263.9914
5 Durham 2018-01-02 263.7842
6 Wake 2018-01-02 263.9491
> c <- calc_narr(
+ a,
+ wod,
+ "NAME",
+ geom = TRUE
+ )
Detected `SpatVector` (polygons) extraction locations...
Calculating air.2m covariates at for 2018-01-01...
Calculating air.2m covariates at for 2018-01-02...
Returning extracted covariates.
> c
class : SpatVector
geometry : polygons
dimensions : 6, 3 (geometries, attributes)
extent : 8135619, 8239747, 3480426, 3553860 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=lcc +lat_0=50 +lon_0=-107 +lat_1=50 +lat_2=50 +x_0=5632642.22547 +y_0=4612545.65137 +datum=WGS84 +units=m +no_defs
names : NAME time air.2m_0
type : <chr> <POSIXt> <num>
values : Orange 2018-01-01 266.8
Durham 2018-01-01 267.1
Wake 2018-01-01 267.2
Review
Based on @eva0marques manuscript review
Add functionality for
calc_covariates
to return aSpatVector
orsf
object May be more useful than a WKT format as it can be directly used in spatial functions and retains CRS information