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testing hpc version
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@ -55,6 +55,7 @@ local({r <- getOption("repos")
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options(repos=r)
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options(repos=r)
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})
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})
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# TODO: remove sp etc. once sf is fully implemented
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# TODO: remove sp etc. once sf is fully implemented
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# TODO: automatically test for packages below on given execution environment and run install.packages() as needed.
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require(RCurl) # used for fetching reproducible datasets
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require(RCurl) # used for fetching reproducible datasets
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require(sf) # new simplefeature data class, supercedes sp in many ways
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require(sf) # new simplefeature data class, supercedes sp in many ways
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require(sp) # needed for proj4string, deprecated by sf()
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require(sp) # needed for proj4string, deprecated by sf()
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@ -255,18 +256,13 @@ permaculture_sf_centralbelt <- st_intersection(permaculture_sf, centralbelt_regi
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```
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```
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```{r process_admin_data}
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```{r process_admin_data}
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# TODO: Code below augments existing dataframes to run calculations and add columns with point counts per polygon,
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# Augment existing dataframes to run calculations and add columns with point counts per polygon,
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# percentages, and normalising data. I'm pretty sure this can all be done inline under create_admin_ecs_choropleth
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# percentages, and normalising data.
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# code chunk without adding new columns to dataframes here, but how?!
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# This code will generate a table of frequencies for each spatialpointsdataframe in admin
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# This code will generate a table of frequencies for each spatialpointsdataframe in admin
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# calculate count of ECS for fields in admin and provide percentages
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# calculate count of ECS for fields in admin and provide percentages
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# JK Note: need to convert from poly.counts, which uses sp() to st_covers() which uses sf() - cf. https://stackoverflow.com/questions/45314094/equivalent-of-poly-counts-to-count-lat-long-pairs-falling-inside-of-polygons-w#45337050
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# JK Note: need to convert from poly.counts, which uses sp() to st_covers() which uses sf() - cf. https://stackoverflow.com/questions/45314094/equivalent-of-poly-counts-to-count-lat-long-pairs-falling-inside-of-polygons-w#45337050
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# Commenting out 27 Feb 2019 in light of revisions to CRS handling above
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# ecs <- spTransform(ecs, proj4string(admin_lev1))
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# transition <- spTransform(transition, proj4string(admin_lev1))
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admin_lev1$ecs_count <- poly.counts(ecs,admin_lev1)
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admin_lev1$ecs_count <- poly.counts(ecs,admin_lev1)
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admin_lev1$ecs_percent<- prop.table(admin_lev1$ecs_count)
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admin_lev1$ecs_percent<- prop.table(admin_lev1$ecs_count)
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# calculate count of places of worship in PointX db for fields in admin and provide percentages
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# calculate count of places of worship in PointX db for fields in admin and provide percentages
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