Title: | Summary Statistics for Geospatial Features |
Version: | 1.0.4 |
Description: | Provides summary statistics of local geospatial features within a given geographic area. It does so by calculating the area covered by a target geospatial feature (i.e. buildings, parks, lakes, etc.). The geospatial features can be of any type of geospatial data, including point, polygon or line data. |
License: | MIT + file LICENSE |
Depends: | R (≥ 3.3.0) |
Encoding: | UTF-8 |
LazyData: | true |
RoxygenNote: | 7.1.1 |
SystemRequirements: | C++11, GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0) |
Date/Publication: | 2021-01-18 16:50:12 UTC |
Imports: | sf (≥ 0.9.5), dplyr (≥ 1.0.0), tidyr (≥ 1.1.0) |
NeedsCompilation: | no |
Packaged: | 2021-01-17 07:07:47 UTC; User |
Author: | Nikos Patias |
Maintainer: | Nikos Patias <n.patias@liverpool.ac.uk> |
Repository: | CRAN |
Areal data calculation
Description
Computes three different summary statistics:
(1) TotalArea
total area of each polygon;
(2) AreaCovered
area covered by a multipolygon object within a high order polygon; and,
(3) Ratio
ratio between AreaCovered
and TotalArea
i.e.
ratio between an area covered by a given set of features and total area of a higher-order geography polygon.
Usage
areal_calc(polygon_layer, higher_geo_lay, unique_id_code, crs)
Arguments
polygon_layer |
multipolygon object of class |
higher_geo_lay |
multipolygon object of class |
unique_id_code |
a string; indicating a unique ID column of |
crs |
coordinate reference system: integer with the EPSG code, or character based on proj4string. |
Details
The function requires two sets of polygon data: high-order and low-order geographic polygons
Value
a tibble
data frame object containing four columns is returned:
the
unique_id_code
ofhigher_geo_lay
the total area of each polygon in
higher_geo_lay
(TotalArea),the total area covered by
polygon_layer
features (AreaCovered),the ratio between the total area covered by
polygon_layer
and total area ofhigher_geo_lay
polygon (Ratio).
Examples
## Run areal_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:
#outcome <- areal_calc(polygon_layer = pol_small,
#higher_geo_lay = pol_large,
#unique_id_code = "large_pol_",
#crs = "epsg:27700")
## End(Not run)
Line data calculation
Description
Computes three different summary statistics:
(1) TotalArea
total area of each polygon;
(2) TotalLength
total length of a multilinestring object within a polygon
(3) Ratio
ratio between TotalLength
and TotalArea
i.e.
the ratio between the total length and total area of a higher-order geography polygon.
Usage
line_calc(line_layer, higher_geo_lay, unique_id_code, crs)
Arguments
line_layer |
multilinestring object of class |
higher_geo_lay |
multipologon object of class |
unique_id_code |
a string; indicating a unique ID column of |
crs |
coordinate reference system: integer with the EPSG code, or character based on proj4string. |
Value
a tibble
data frame object containing four columns:
the unique_id_code
of higher_geo_lay
the total area of each polygon
in higher_geo_lay
(TotalArea)
the total length of line_layer
features (TotalLength)
the ratio between the total length of line_layer
and the the total area of
higher_geo_lay
polygon (Ratio).
Examples
## Run line_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:
#outcome <- line_calc(
# line_layer = lines,
# higher_geo_lay = pol_large,
# unique_id_code = "large_pol_",
# crs = "epsg:27700")
## End(Not run)
Line geospatial layer.
Description
Toy dataset of line data.
Usage
lines
Format
A geospatial file of six lines georeferenced in wgs84.
Source
Own dataset.
Point data calculation
Description
Computes 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.
Usage
point_calc(
point_data,
higher_geo_lay,
unique_id_code,
class_col,
crs,
total_points = TRUE
)
Arguments
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 |
Details
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
Value
if total_points = TRUE
:
A tibble
data frame objects containing four columns is returned:
the
unique_id_code
ofhigher_geo_lay
the total area of each polygon in
higher_geo_lay
(TotalArea)the total number of point features
point_data
(NoPoints), andthe ratio between the total number of point features
point_data
and the the total area ofhigher_geo_lay
polygon (Ratio).
if total_points = FALSE
:
A list of three tibble
data frame objects is returned.
The object
PointsLong
contains three columns: theunique_id_code
ofhigher_geo_lay
, theclass_col
ofpoint_data
, the number of point featurespoint_data
by class (NoPoints), the total area of each polygon inhigher_geo_lay
(TotalArea) and the ratio between the number of point features by classpoint_data
and the the total area ofhigher_geo_lay
polygon (Ratio).The object
PointsCountWide
: Returns the point counts ofPointsLong
byunique_id_code
andclass_col
in a wide format.The object
PointsRatioWide
: Returns the ratio ofPointsLong
byunique_id_code
andclass_col
in a wide format.
Examples
## 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)
Point geospatial layer.
Description
Toy dataset of point data.
Usage
points
Format
A geospatial file of ten points georeferenced in wgs84.
Source
Own dataset.
Large polygons geospatial layer.
Description
Toy dataset of polygon data.
Usage
pol_large
Format
A geospatial file of three polygons georeferenced in wgs84.
Source
Own dataset.
Small polygons geospatial layer.
Description
Toy dataset of polygon data.
Usage
pol_small
Format
A geospatial file of eight polygons georeferenced in wgs84.
Source
Own dataset.