Package index • priogrid

All functions

pgoptions: R6 Class to set and get package-wide options for PRIO-GRID.

Source: Source Class

add_source(): Add source to CSV file

calc_traveltime(): Generate travel time to nearest major city

calculate_pgvariables(): Calculates all PRIO-GRID variables

check_pgsourcefiles(): Test if MD5 checksums of local files are the same as a tested set of files

collate_pgdata(): Collects PRIO-GRID data from rasters and pulls it into two data.frames

create_pg_indices(): Create matrix with index numbering conventions as for PRIO-GRID.

cshapes_cover(): Whether or not a grid-cell intersects with the international state system (cShapes 2.0)

cshapes_cover_share(): Share of grid-cell intersecting with the international state system (cShapes 2.0)

cshapes_gwcode(): The Gleditsch-Ward (cShapes 2.0 version) code in each grid-cell

download_pg_rawdata(): Download the raw-data for PRIO-GRID

extract_bib_elements(): Helper function to parse bibliography elements based on a source

gen_cru_tmp(): Generate PRIO-GRID Compatible CRU Near Surface Temperature Data

gen_cshapes_cover_share(): Generate cshapes_cover_share variable

gen_cshapes_gwcode(): Generate cshapes_gwcode variable

gen_geoepr_reg_excluded(): PRIO-GRID cells with any regionally based politically excluded groups

gen_geopko_operations_count(): Generate Geo-PKO operations count

gen_geopko_troops_count(): Generate the number of troops from Geo-PKO

gen_ghsl_population_grid(): Generate GHSL GHS Population Grid

gen_hilda_cropland(): Extract Cropland Coverage from HILDA+ Data

gen_hilda_forest(): Extract Forest Coverage from HILDA+ Data

gen_hilda_grassland(): Extract Unmanaged Grass/Shrubland Coverage from HILDA+ Data

gen_hilda_ocean(): Extract Ocean Coverage from HILDA+ Data

gen_hilda_pasture(): Extract Pasture/Rangeland Coverage from HILDA+ Data

gen_hilda_sparse(): Extract Sparse/No Vegetation Coverage from HILDA+ Data

gen_hilda_urban(): Extract Urban Coverage from HILDA+ Data

gen_hilda_water(): Extract Water Coverage from HILDA+ Data

gen_linight_mean(): Generate Li Nighttime Light

gen_naturalearth_cover(): Whether or not a grid-cell intersects with land (NaturalEarth)

gen_naturalearth_cover_share(): Share of grid-cell that intersects with land (NaturalEarth)

gen_ruggedterrain_elevation_mean(): Generate the average (mean) elevation for PRIO-GRID cells

gen_traveltime_mean(): Generate the average (mean) travel time to nearest major city

gen_traveltime_min(): Generate the minimum travel time to nearest major city

get_bib_element(): Extract bibliography element

get_bibliography(): Get the PRIO-GRID bibliography

get_options_hash(): Get a hash of options that affect data generation

get_pgfile(): Get file-path on local system to a data source in PRIO-GRID

hilda_landcover(): Extract Land Cover Proportions from HILDA+ Data for PRIO-GRID Cells

load_pgvariable(): Load a PRIO-GRID variable

pg_date_intervals(): Get a sequence of date intervals

pg_dates(): Get a sequence of dates

pg_rawfiles(): Extract url- and file-info from PRIO-GRID metadata

pgchecksum: PRIO-GRID File Checksums (MD5)

pgcitations(): Print citations for PRIO-GRID variables

pgsearch(): Search PRIO-GRID meta-data

pgsources: PRIO-GRID Meta-data survey and source information

pgvariables: PRIO-GRID Variables

prio_blank_grid(): Create a raster with PRIO-GRID ids.

rast_to_df(): Converts raster with variable to data.frame

raster_to_pgtibble(): Convert a pgraster to tabular format

read_cru_tmp(): Read and Process CRU TS Near Surface Temperature Data

read_cshapes(): Reads the CShapes 2.0 raw data

read_epr(): Reads the EPR Core 2023 data

read_geoepr(): Reads the GeoEPR - Geo-referencing Ethnic Power Relations data

read_geopko(): Reads the Geocoded Peacekeeping Operations (Geo-PKO) data

read_ghsl_population_grid(): Reads the GHSL GHS Population Grid data

read_hilda(): Reads the HILDA+ data

read_naturalearth_10m_land(): Reads the Natural Earth 10m Physical Vector Data

read_ruggedterrain(): Read Global Multi-resolution Terrain Elevation Data (GMTED2010)

read_traveltime(): Reads the Estimated Travel Time to Major Cities version year 2000 data Unzips the folder and imports the .tif file as SpatRaster

robust_transformation(): Robustly transform any raster to PRIO-GRID format

ruggedterrain_variable(): Calculate elevation in PRIO-GRID format with set variable

unfinished_downloads(): Prints data.frame with unfinished downloads

zip_file(): Unzip a File to a Structured Directory (with Safety Check)