xSub

Variables Included

xSub datasets include variables from two categories:

  1. conflict and violence

  2. local demographics, geography, ethnicity, weather

ID variables

The following variables identify spatial and temporal units, and can be used for merging and aggregation:

  • ID_0: GADM country ID (numeric)

  • ISO: ISO3 country ID (string)

  • NAME_0: country name (string)

  • ID_1: GADM province ID (numeric)

  • NAME_1: province name (string)

  • ID_2: GADM district ID (numeric)

  • NAME_2: district name (string)

  • CLEA_CST: electoral constituency ID / format is “A.B.C”, where A is the CLEA country code, B is the election year, C is the CLEA constituency number (string)

  • CLEA_CST_N: name of electoral constituency (string)

  • PRIO_GID: PRIO-GRID cell ID (numeric)

  • PRIO_XCOORD: longitude of cell centroid (numeric)

  • PRIO_YCOORD: latitude of cell centroid (numeric)

  • PRIO_COL: PRIO-GRID column number (numeric)

  • PRIO_ROW: PRIO-GRID row number (numeric)

  • YEAR: year (numeric)

  • YRMO: year-month (YYYYMM) (numeric)

  • WID: week ID (numeric)

  • DATE: date (YYYYMMDD) (numeric)

Event counts: conflict and political violence

  • INITIATOR variables:

    • INITIATOR_SIDEA, INITIATOR_SIDEB, INITIATOR_SIDEC, INITIATOR_SIDED

  • TARGET variables:

    • TARGET_SIDEA, TARGET_SIDEB, TARGET_SIDEC, TARGET_SIDED

  • ACTION variables:

    • ACTION_ANY, ACTION_IND, ACTION_SEL, ACTION_PRT

  • INITIATOR_ACTION variables:

    • SIDEA_ANY, SIDEA_IND, SIDEA_SEL, SIDEA_PRT
      SIDEB_ANY, SIDEB_IND, SIDEB_SEL, SIDEB_PRT
      SIDEC_ANY, SIDEC_IND, SIDEC_SEL, SIDEC_PRT

INITIATOR, TARGET

  • SIDE_A: incumbent government, pro-govt militia, third party acting on incumbent’s behalf

  • SIDE_B: rebels, anti-government militia, third party acting on rebels’ behalf, and other armed groups directly challenging the government

  • SIDE_C: local militia, tribe, other non-state actors not directly challenging the government

  • SIDE_D: civilians

The actor dictionary specifies which factions belong to SIDE_A … SIDE_D for each conflict.

ACTION

General categories

  • ANY: any use of force

  • IND: indiscriminate force (e.g. indirect fire, shelling, air strikes, chemical weapons)

  • SEL: selective force (e.g. direct fire, arrest, assassination)

  • PRT: protest

Local demographics, geography, ethnicity, weather, economy

  • POP_1990: population per square kilometer, 1990 (GPW v3) (numeric, time-invariant)

  • POP_1995: population per square kilometer, 1995 (GPW v3) (numeric, time-invariant)

  • POP_2000: population per square kilometer, 2000 (GPW v3) (numeric, time-invariant)

  • ELEV_MEAN: average elevation, meters (ETOPO05) (numeric, time-invariant)

  • ELEV_SD: standard deviation of elevation, meters (ETOPO05) (numeric, time-invariant)

  • ELEV_MAX: maximum elevation, meters (ETOPO05) (numeric, time-invariant)

  • OPEN_TERRAIN: proportion of land covered by open terrain (shrublands, savannah, grasslands, barren or sparsely vegetated) (GLCC) (numeric, time-invariant)

  • FOREST: proportion of land covered by evergreen, deciduous or mixed forest (GLCC) (numeric, time-invariant)

  • WETLAND: proportion of land covered by wetlands or water bodies (GLCC) (numeric, time-invariant)

  • FARMLAND: proportion of land covered by croplands (GLCC) (numeric, time-invariant)

  • GREG_NGROUPS: number of local ethnic groups (GREG) (numeric, time-invariant)

  • GREG_GROUPS: names of local ethnic groups (GREG) (string, time-invariant)

  • WLMS_NLANG: number of local languages (WLMS) (numeric, time-invariant)

  • WLMS_LANGS: names of local languages (WLMS) (string, time-invariant)

  • NBUILTUP: number of built-up areas (GGIS) (numeric, time-invariant)

  • BUILTUP: names of built-up areas (GGIS) (string, time-invariant)

  • NPETRO: number of petroleum fields (PRIO) (numeric, time-invariant)

  • PETRO: names of petroleum fields (PRIO) (string, time-invariant)

  • DIST2PROVCAP: distance to nearest provincial capital, km (GGIS) (numeric, time-invariant)

  • DIST2CAP: distance to national capital, km (GGIS) (numeric, time-invariant)

  • ROAD_XING: number of primary, secondary roads crossing border (DCW) (numeric, time-invariant)

  • ROAD_LENGTH: length of primary, secondary roads, km (DCW) (numeric, time-invariant)

  • AREA_KM2: area of spatial unit, km2 (numeric, time-invariant)

  • ROAD_DENSITY: road density, km/km2 (DCW) (numeric, time-invariant)

  • TEMP: average temperature in Celsius (NOAA) (numeric, monthly time precision)

  • RAIN: average precipitation in millimeters (NOAA) (numeric, monthly time precision)

  • PG_GCP_MER: Gross Cell Product, total (Nordhaus, PRIO-GRID) (numeric, yearly time precision)

  • PG_GCP_PPP: Gross Cell Product, purchasing power parity (Nordhaus, PRIO-GRID) (numeric, yearly time precision)

  • PG_GCP_QUAL: Gross Cell Product, data quality (Nordhaus, PRIO-GRID) (numeric, yearly time precision)

  • PG_NLIGHTS_CALIB_MEAN: nightlights calibrated, mean (DMSP OLS Nighttime Lights, PRIO-GRID) (numeric, yearly time precision)

  • PG_POP_HYD_SUM: population, total (HYDE population data, PRIO-GRID) (numeric, yearly time precision)

  • PG_..._LI: same PRIO-GRID variables as above, with missing values within cells linearly interpolated from past values

  • PG_..._MR: same PRIO-GRID variables as above, with missing values within cells replaced with most recent values