Geovariables

Geovariables#

A full list of geovariables and their corresponding metadata for the Kasai Household Survey are presented here.

Geovariables Metadata#

In order to make sure that users easily understand geovaribles, the following attributes/metadta are defined for each geovariable.

Theme This provides a broad category where this variable falls. For example, soil, rainfall, land cover etc
Variable description Provides the definition of the variable in a non-mathematic fashion.
Variable ID This is the variable name as used in the published or any dataset.
Variable definition An exact description including formulas if necessary of how the variable is computed
Variable type Whether the variable is a continuos or categorical
Variable units Units of measurement for the variable
Resolution This may refer more to the resolution of the data source
Reference period If needed, time period associated with the variable. For example, for the variable 12-month total rainfall (mm) in July-June, starting July 2011 the reference period would be 2022-2012
Dataset source Data (dataset name and URL) used to generate this variable.

Geovariables List#

The tables below provide summary information (not all metadata) for the of variables generated for this survey.

Distance and accessibility#

ID	Theme	Variable Description	Variable ID	Units	Resolution	Data sources
1	Distance	Household distance to nearest main road	dist01	Km	N/A	OpenStreetMaps, local sources
2	Distance	Household distance to nearest town of > 20,000 pop	dist02	Km	N/A	City population, local sources
3	Distance	Household distance to nearest major market (FEWSNET key market centers)	dist03	Km	N/A	FewsNET, USAID
4	Distance	Household distance to nearest border post on main road	dist04	Km	N/A	Tracks4Africa,roads, borders
5	Distance	Household distance to the headquarters of the district of residence	dist05	Km	N/A	World Gazeteer Towns, Statoids
10	Distance	Household travel time to the headquarters of the district of residence	trav05	Km	N/A	World Gazeteer Towns, Statoids

Climatology#

ID	Theme	Variable Description	Variable ID	Units	Resolution	Data sources
1	Climatology	Average annual temperature calculated from monthly climatology, multiplied by 10 (°C)	clim01	Degrees Celcius	0.008333 dd	World Clim
2	Climatology	Average temperature of the wettest quarter, from monthly climatology, multiplied by 10. (°C)	clim02	Degrees Celcius	0.008333 dd	World Clim
3	Climatology	Total annual precipitation	clim03	mm	0.008333 dd	World Clim
4	Climatology	Precipitation of wettest month	clim04	mm	0.008333 dd	World Clim
5	Climatology	Precipitation of wettest quarter	clim05	mm	0.008333 dd	World Clim

Land typology#

ID	Theme	Variable Description	Variable ID	Units	Resolution	Data sources
1	Landscape Typology	Majority landcover class within approximately 1km buffer	land01	N/A	0.002778 dd	GlobCover v2.3
2	Landscape Typology	Percent under agriculture within approx 1 km buffer	land02	N/A	0.002778 dd	GlobCover v2.3
3	Landscape Typology	Agricultural ecological zones	land03	N/A	0.008333 dd	IFIPRI
4	Landscape Typology	Population density range (people per km2)	land04	mm	0.008333 dd	WorldPop

Soil and terrain#

ID	Theme	Variable Description	Variable ID	Units	Resolution	Data sources
1	Soil and Terrain	Average elevation (m) within 1 km block	soil01	m	0.008333 dd	SRTM-90m
2	Soil and Terrain	Slope derived from 90m SRTM	soil02	Percent	0.008333 dd	SRTM-90m
3	Soil and Terrain	Topographic wetness index1	soil03	N/A	0.008333 dd	SRTM-90m
4	Soil and Terrain	Terrain Roughness2	soil04	N/A	0.008333 dd	SRTM-90m
5	Soil and Terrain	Nutrient availability	soil05	N/A	0.008333 dd	Harmonized World Soil Database
6	Soil and Terrain	Nutrient retention capacity	soil06	N/A	0.008333 dd	Harmonized World Soil Database
7	Soil and Terrain	Rooting conditions	soil07	N/A	0.008333 dd	Harmonized World Soil Database
8	Soil and Terrain	Oxygen availability to roots	soil08	N/A	0.008333 dd	Harmonized World Soil Database
9	Soil and Terrain	Excess salts	soil09	N/A	0.008333 dd	Harmonized World Soil Database
10	Soil and Terrain	Toxicity	soil08	N/A	0.008333 dd	Harmonized World Soil Database
11	Soil and Terrain	Workability (constraining field management)	soil08	N/A	0.008333 dd	Harmonized World Soil Database

Crop season parameters#

ID	Theme	Variable Description	Variable ID	Units	Resolution	Data sources
1	Crop Season Parameters	Average 12-month total rainfall3	crops01	mm	0.1 dd	NOAA-CPC Rainfall Estimates
2	Crop Season Parameters	Average total rainfall in wettest quarter within 12-month periods4	crops02	mm	0.1dd	NOAA-CPC Rainfall Estimates
3	Crop Season Parameters	Average start of wettest quarter in dekads.5	crops03	dekads	0.1 dd	NOAA-CPC Rainfall Estimates
4	Crop Season Parameters	12-month total rainfall6	crops04	mm	0.1 dd	NOAA-CPC Rainfall Estimates
5	Crop Season Parameters	Total rainfall in wettest quarter within 12- month period7	soil05	mm	0.1 dd	NOAA-CPC Rainfall Estimates
6	Crop Season Parameters	Start of wettest quarter in dekads8	crops06	dekads	0.008333 dd	NOAA-CPC Rainfall Estimates
7	Crop Season Parameters	Average total change in greenness within primary growing season9	crops07	N/A	0.004176 dd	MODIS-MOD12Q2(DOY185) Land Cover Dynamics
8	Crop Season Parameters	Average timing of onset of greenness increase10	crops07	Day of the year	0.004176 dd	MODIS-MOD12Q2(DOY185) Land Cover Dynamics
9	Crop Season Parameters	Average timing of onset of greenness decrease11	crops07	Day of the year	0.004176 dd	MODIS-MOD12Q2(DOY185) Land Cover Dynamics
10	Crop Season Parameters	Total change in greenness within primary growing season 12	crops07	N/A	0.004176 dd	MODIS-MOD12Q2(DOY185) Land Cover Dynamics
11	Crop Season Parameters	Onset of greenness increase 13	crops07	Day of the year	0.004176 dd	MODIS-MOD12Q2(DOY185) Land Cover Dynamics
12	Crop Season Parameters	Onset of greenness decrease 14	crops07	Day of the year	0.004176 dd	MODIS-MOD12Q2(DOY185) Land Cover Dynamics
13	Crop Season Parameters	Average EVI value at peak of greenness within growing season15	crops07	N/A	0.004176 dd	MODIS-MOD12Q2(DOY185) Land Cover Dynamics
14	Crop Season Parameters	EVI value at peak of greenness within growing seaso16	crops07	N/A	0.004176 dd	MODIS-MOD12Q2(DOY185) Land Cover Dynamics

Infrastracture#

ID	Theme	Variable Description	Variable ID	Units	Resolution	Data sources
1	Infrastracture	Distance to nearest Open CellID tower for 2G	d_2g	m	N/A	GSMA
2	Infrastracture	Distance to nearest Open CellID tower for 3G	d_3g	m	N/A	GSMA
3	Infrastracture	Distance to nearest Open CellID tower for 4G	d_4g	m	N/A	GSMA
4	Infrastracture	Percent of anonymizing region covered by strong 2G signal	good2g	percent	N/A	GSMA
5	Infrastracture	Percent of anonymizing region covered by weak 2G signal	poor2g	percent	N/A	GSMA
6	Infrastracture	Percent of anonymizing region with no 2G signal	none2g	percent	N/A	GSMA
7	Infrastracture	Percent of anonymizing region covered by strong 3G signal	good3g	percent	N/A	GSMA
8	Infrastracture	Percent of anonymizing region covered by weak 3G signal	poor3g	percent	N/A	GSMA
9	Infrastracture	Percent of anonymizing region with no 3G signal	none3g	percent	N/A	GSMA
10	Infrastracture	Nighttime light annual composite	hrea_rade9lnmu	Radiance	N/A	NOAA, Univeristy of Michigan
11	Infrastracture	Statistically estimated brightness levels	hrea_lightscore	Brightness	N/A	NOAA, Univeristy of Michigan
12	Infrastracture	Travel time (hours) to national capital	tt_natcap	Hours	N/A	various map sources, Weiss et al
13	Infrastracture	Travel time (hours) to nearest town greater than greater than 50,000	tt_popcenter	Hours	N/A	Thomas Brinkhoff: City Population, Weiss et al
14	Infrastracture	Travel time (hours) to nearest major city	tt_city	Hours	N/A	Thomas Brinkhoff: City Population, Weiss et al

Natural Hazards#

Conflict#

Food Security#

1: Derived from modified 90m SRTM. Local upslope contributing area and slope are combined to determine the potential wetness index.
2: Derived from 90m SRTM using Meybeck relief classes and 5x5 pixel neighborhood
3: Months and/or year is specified based on the survey in question.
4: Months and/or year is specified based on the survey in question.
5: Dekads are in the range \(1-36\). The first dekad depens on the target year. For example, \(July, 2012 =1\). Multiple varibales possible for different years.
6: Months and/or year is specified based on the survey in question. Multiple variables are possible.
7: Months and/or year is specified based on the survey in question. Multiple variables are possible.
8: Dekads are in the range \(1-36\). The first dekad depens on the target year. For example, \(July, 2012 =1\). Multiple varibales possible for different years.
9: This an integral of daily EVI values averaged by admininstrative region (e.g., district)
10: Day of year is in the range \(1-356\) where \(July = 1\) will depend of the survey in question. Also, these values are averaged at administrative region (e.g., district)
11: Day of year is in the range \(1-356\) where \(July = 1\) will depend of the survey in question. Also, these values are averaged at administrative region (e.g., district)
12: This an integral of daily EVI values averaged by admininstrative region (e.g., district) and the growing season is specified by months and years based on survey. Multiple variables possible.
13: Day of year is in the range \(1-356\) where \(July = 1\) will depend of the survey in question. Also, these values are averaged at administrative region (e.g., district). Multiple variables possible.
14: Day of year is in the range \(1-356\) where \(July = 1\) will depend of the survey in question. Also, these values are averaged at administrative region (e.g., district). Multiple variables possible.
15: Growing season specified by month and year based on the survey and value averaged at admin region (e.g., district).
16: Growing season specified by month and year based on the survey and value averaged at admin region (e.g., district). Multiple variables possible.