Exploration of Temperature and Precipitation in Schistosomiasis-Endemic Regions. There are two sets of climate data samples shown below. The underlying climate data sampled is a 30 year time series (1990-2020) of monthly mean temperature and total precipitation from ERA5. One set represents the whole continent of Africa. These are 14,596 point locations evenly spaced apart in a 50km x 50km grid. ERA5 data was sampled at its native 10km x 10km resolution at each individual point for the entire time series. The second set represents a resampling of the ERA5 data to a 100km x 100km grid, and only grid cells where there was at least one GNTD point location were sampled. This represents 822 points locations.
## Number of GNTD points (thinned) with cor_coef < 0 (Temp. and Precip.): 511
## Number of GNTD points (thinned) with cor_coef < 0.25 (Temp. and Precip.): 666
## Number of GNTD points (thinned) with cor_coef < -0.5 (Temp. and Precip.): 260
##
## Call:
## lm(formula = temp_c ~ total_precipitation_sum, data = gntd_thinned_2)
##
## Residuals:
## Min 1Q Median 3Q Max
## -15.2186 -2.4415 0.2604 2.4713 11.2294
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.576e+01 9.128e-03 2821.6 <2e-16 ***
## total_precipitation_sum -1.008e-02 6.829e-05 -147.6 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.874 on 295918 degrees of freedom
## Multiple R-squared: 0.06854, Adjusted R-squared: 0.06854
## F-statistic: 2.177e+04 on 1 and 295918 DF, p-value: < 2.2e-16
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'