Reference

Country

ERF significant

Spatial method used

Mabaso et al. 2005 [6]

Zimbabwe

Rainfall, vapor pressure, temperature, NDVI

Thematic map; Bayesian spatial-temporal CAR

Gosoniu et al. 2006 [7]

Mali

NDVI, rainfall, temperature, distance to water bodies

Thematic map; Bayesian stationary and non-stationary model; Bayesian kriging

Hernández-Avila et al. 2006 [8]

Mexico

Climate, distance to river, elevation, evaporation, distance to road, population

Thematic map; Spatial logistic model; Bayesian spatio-temporal filter

Ernst et al. 2006 [9]

Kenya

Altitude, distance to forest/swamp/rivers /health services, pop. density

Thematic map; Spatial scan statistics; Moran’s I statistic

Gemperli et al. 2006 [27]

West and Central Africa

Temperature, rainfall, NDVI, distance water bodies, length of season

Bayesian lineal geostatistical model Bayesian kriging

Kazembe L.N. 2007 [10]

Malawi

SWHC, altitude

Thematic map

Silué et al. 2008 [11]

Côte d’Ivoire

None of the covariates are significant in the spatial model

Thematic map; Bayesian stationary and non-stationary model

Gosoniu et al. 2009 [25]

West Africa

Temperature, rainfall, distance to water bodies, land use, season length

Thematic map; Bayesian kriging; Bayesian nonparametric non-stationary model

Raso et al. 2009 [12]

Côte d’Ivoire

Rainfall, distance to river

Thematic map; Bayesian kriging; Bayesian stationary and non-stationary model

Gosoniu et al. 2010 [13]

Angola

None of the covariates are significant in the spatial model

Thematic map; Bayesian kriging; Bayesian geostatistical model with location-specific random effects

Grillet et al. 2010 [14]

Venezuela

Number of breeding sites

Thematic map; Kulldorff’s scan; local Getis statistic; Moran’s I; Geographical weighted regression

Riedel et al. 2010 [15]

Zambia

None of the covariates are significant in the spatial model

Thematic map; Bayesian kriging

Reid et al. 2010 [16]

Bangladesh

Forest cover, elevation, temperature

Thematic map; Bayesian geostatistical model; Interpolation; Semivariogram

Haque et al. 2010 [17]

Bangladesh

Forest cover

Thematic map; Bayesian geostatistical model; Kriging