bitacanalytics/mwmapdata

Spatial boundary data for Malawi administrative levels # mwmapdata **mwmapdata** provides official spatial boundary datasets for Malawi, for use with the mwmap package or any spatial analysis workflow requiring Malawi administrative boundaries. ## Datasets | Object | Level | Features | Description | |---------------|---------------|---------------|-----------------------------| | `mw_level_0` | 0 | 1 | National boundary | | `mw_level_1` | 1 | 3 | Administrative regions (N, C, S) | | `mw_level_2` | 2 | 32 | Districts (incl. 4 city districts) | | `mw_level_3` | 3 | 433 | Traditional authorities | | `major_lakes` | — | 1 | Lake Malawi / Lake Nyasa | | `malawi_data` | 2 | 32 | Legacy alias for `mw_level_2` (**deprecated**) | All levels include `area_sqkm`, `center_lat`, and `center_lon` columns. Boundary data are the official **Common Operational Datasets (COD-AB)** sourced from the **National Statistics Office of Malawi**, distributed via OCHA Humanitarian Data Exchange (HDX), version 02 (valid from 05 April 2023). ## Installation ``` r # From CRAN (once available) install.packages("mwmapdata") # Development version remotes::install_github("bitacanalytics/mwmapdata") ``` ## Usage ``` r library(mwmapdata) library(sf) # Plot all 32 districts plot(st_geometry(mw_level_2)) # Plot traditional authorities in a single district lilongwe_tas <- mw_level_3[mw_level_3$DISTRICT == "Lilongwe", ] plot(st_geometry(lilongwe_tas)) # Check data validity mwmapdata_check() ``` ## Data notes - `mw_level_2` contains **32 districts**, including the 4 city districts (Blantyre City, Lilongwe City, Mzuzu City, Zomba City) added in the 2023 boundary update. Earlier datasets had 28 districts. - `mw_level_3` contains **433 traditional authorities**, up from \~250 in earlier boundary versions. - The `major_lakes` object contains Lake …