Articles • priogridR

Getting started with priogridR: Learn the core grid utilities, return types, output helpers, and plotting conventions in priogridR.
Grid foundations: Convert cells and coordinates, create geometries, validate and complete panels, join variables safely, and map results.
Grid identifiers and neighborhoods: Create identifier matrices, inspect neighboring cells, and connect these utilities to configurable PRIO-GRID geometries.
Spatial context: Define neighbors and weights, calculate spatial lags and distances, and summarize nearby cell values.
Results, output, and visualization: Work with structured conversion results, create reproducible project paths, write supported formats, and customize PRIO-GRID maps.
Choosing a PRIO-GRID conversion workflow: Choose the appropriate priogridR converter for raster, vector, point-event, NetCDF, or geographically indexed tabular data.

Detailed workflows for each supported source-data format.

Converting point and event data: Aggregate coordinates and point events to PRIO-GRID cells, including values, dates, groups, and structural zeros.
Converting raster data: Align static and time-varying rasters to PRIO-GRID and choose suitable aggregation, disaggregation, and output options.
Converting vector data: Aggregate point, line, and polygon geometries to PRIO-GRID using counts, lengths, areas, coverage, and weighted values.
Converting NetCDF data: Select NetCDF variables and layers, handle time and missing values, and convert them to PRIO-GRID.
Converting geographically indexed tables: Join tabular observations to polygon geographies and transfer totals, rates, or constant values to PRIO-GRID cells.