point_calc.RdComputes three different summary statistics:
(1) TotalArea total area of each polygon;
(2) NoPoints number of multipoint objects within a given polygon; and,
(3) Ratio ratio between NoPoints and TotalArea covered within a polygon.
point_calc( point_data, higher_geo_lay, unique_id_code, class_col, crs, total_points = TRUE )
| point_data | multipoint object of class |
|---|---|
| higher_geo_lay | multipolygon object of class |
| unique_id_code | a string; indicating a unique ID column of |
| class_col | a string; indicating a column name for |
| crs | coordinate reference system: integer with the EPSG code, or character based on proj4string. |
| total_points | logical; if the target is to measure the total number of points set to |
if total_points = TRUE:
A tibble data frame objects containing four columns is returned:
the unique_id_code of higher_geo_lay
the total area of each polygon
in higher_geo_lay (TotalArea)
the total number of point features point_data (NoPoints),
and
the ratio between the total number of point features point_data and the the total area of
higher_geo_lay polygon (Ratio).
if total_points = FALSE:
A list of three tibble data frame objects is returned.
The object PointsLong contains three columns:
the unique_id_code of higher_geo_lay, the class_col of point_data,
the number of point features point_data by class (NoPoints), the total area of each polygon
in higher_geo_lay (TotalArea) and the ratio between the number of point features by class point_data
and the the total area of higher_geo_lay polygon (Ratio).
The object PointsCountWide:
Returns the point counts of PointsLong by unique_id_code and class_col in a wide format.
The object PointsRatioWide:
Returns the ratio of PointsLong by unique_id_code and class_col in a wide format.
The function requires two sets of data: a layer of geographic polygons, and a layer of points
If points have been categorised into classes, the function can return the same summary
measures for each class if total_points = FALSE by specifying the column that contains the classification in class_col
## Run point_calc() using the packages' dummy data sets. ## The data sets are georeferenced on wgs84. However, a planar system is used to measure areas. ## For the examples provided here, points and polygons relate to the United Kingdom. ## So the British National Grid is used. ## Not run: ## This example returns the total points count and ratio # outcome1 <- point_calc( # point_data = points, # higher_geo_lay = pol_large, # unique_id_code = "large_pol_", # crs = "epsg:27700", # total_points = TRUE) ## This example returns the points count and ratio by class # outcome2 <- point_calc( # point_data = points, # higher_geo_lay = pol_large, # unique_id_code = "large_pol_", # class_col = "class_name", # crs = "epsg:27700", # total_points = FALSE) ## End(Not run)