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incomp_area_analysis.R
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tar_load(c(priority_og_inc, priority_og_pa_inc, incomp_area, priority_og_des_inc, pa_inc,
priority_og_des_vis_inc, og_inc, og_pa_inc, og_des_lands_inc, og_des_lands_vis_inc,
inc_ch, inc_ch_pa, des_lands_inc,
inc_ch_des_vis, incomp_area, des_lands_inc_vis))
#priority og in area
inc_priority_og <- priority_og_inc %>%
mutate(og_area = as.numeric(st_area(.)),
og_area = as.numeric(set_units(og_area, ha))) %>%
st_drop_geometry() %>%
summarise(og_priority_area = sum(og_area)/10000)
#priority og in protected area
inc_priority_og_pa <- priority_og_pa_inc %>%
mutate(og_pa_area = as.numeric(st_area(.)),
og_pa_area = as.numeric(set_units(og_pa_area, ha))) %>%
st_drop_geometry() %>%
summarise(og_priority_pa_area = sum(og_pa_area)/10000)
#priority og in uwr area
inc_priority_og_uwr<- priority_og_des_vis_inc %>%
mutate(og_des_area = as.numeric(st_area(.)),
og_des_area = as.numeric(set_units(og_des_area, ha))) %>%
st_drop_geometry() %>%
filter(designation == "uwr_conditional_harvest"|designation == "uwr_no_harvest") %>%
summarise(og_priority_uwr_area = sum(og_des_area)/10000)
#priority og is all des area
inc_priority_og_des<- priority_og_des_inc %>%
mutate(og_des_area = as.numeric(st_area(.)),
og_des_area = as.numeric(set_units(og_des_area, ha))) %>%
st_drop_geometry() %>%
summarise(og_priority_des_area = sum(og_des_area)/10000)
#all og sums
inc_all_og <- og_inc %>%
mutate(og_area = as.numeric(st_area(.)),
og_area = as.numeric(set_units(og_area, ha))) %>%
st_drop_geometry() %>%
summarise(all_og_area = sum(og_area)/10000)
inc_all_og_pa <- og_pa_inc %>%
mutate(og_pa_area = as.numeric(st_area(.)),
og_pa_area = as.numeric(set_units(og_pa_area, ha))) %>%
st_drop_geometry() %>%
summarise(all_og_pa_area = sum(og_pa_area)/10000)
inc_all_og_uwr <- og_des_lands_vis_inc %>%
mutate(og_uwr_area = as.numeric(st_area(.)),
og_uwr_area = as.numeric(set_units(og_uwr_area, ha))) %>%
st_drop_geometry() %>%
filter(designation == "uwr_conditional_harvest"|designation == "uwr_no_harvest") %>%
summarise(all_uwr_area = sum(og_uwr_area)/10000)
inc_all_og_des <- og_des_lands_inc %>%
mutate(og_des_area = as.numeric(st_area(.)),
og_des_area = as.numeric(set_units(og_des_area, ha))) %>%
st_drop_geometry() %>%
summarise(all_og_des_area = sum(og_des_area)/10000)
#inc all area
inc_area <- incomp_area %>%
mutate(caribou_area = as.numeric(st_area(.)),
caribou_area = as.numeric(set_units(caribou_area, ha))) %>%
st_drop_geometry() %>%
summarise(incomp_area = sum(caribou_area)/10000)
inc_pa <- pa_inc %>%
mutate(caribou_pa_area = as.numeric(st_area(.)),
caribou_pa_area = as.numeric(set_units(caribou_pa_area, ha))) %>%
st_drop_geometry() %>%
group_by(pa_type) %>%
summarise(caribou_pa_area = sum(caribou_pa_area)/10000) %>%
pivot_wider(names_from=pa_type, values_from=caribou_pa_area)
inc_uwr <- des_lands_inc_vis %>%
mutate(proposed_cons_area= as.numeric(st_area(.)),
proposed_cons_area = as.numeric(set_units(proposed_cons_area, ha))) %>%
st_drop_geometry() %>%
group_by(designation) %>%
summarise(des_area_type = sum(proposed_cons_area)/10000) %>%
filter(designation == "uwr_conditional_harvest"|designation == "uwr_no_harvest")%>%
pivot_wider(names_from=designation, values_from=des_area_type)
#write_sf(des_lands_inc_vis, "out/des_lands_inc_vis.gpkg")
inc_des <- des_lands_inc %>%
mutate(caribou_area_des = as.numeric(st_area(.)),
caribou_area_des = as.numeric(set_units(caribou_area_des, ha))) %>%
st_drop_geometry() %>%
summarise(total_area_des = sum(caribou_area_des)/10000)
inc_sums <- cbind(inc_area, inc_pa, inc_uwr, inc_des, inc_all_og, inc_all_og_pa, inc_all_og_uwr, inc_all_og_des,
inc_priority_og, inc_priority_og_pa, inc_priority_og_uwr, inc_priority_og_des)
#area sums
inc_sum <- inc_sums %>%
mutate(area_no_conservation = incomp_area - total_area_des,
area_outside_parks = incomp_area - ppa)
inc_des <- des_lands_inc %>%
mutate(caribou_area_des = as.numeric(st_area(.)),
caribou_area_des = as.numeric(set_units(caribou_area_des, ha))) %>%
summarise(total_area_des = sum(caribou_area_des)/10000)
write_sf(inc_des, "out/des_lands_inc_all.gpkg")
#Table 2 - summarize the type and area of conservation area (individually)
inc_des_summary_flat <- des_lands_inc %>%
mutate(proposed_cons_area= as.numeric(st_area(.)),
proposed_cons_area = as.numeric(set_units(proposed_cons_area, ha))) %>%
st_drop_geometry() %>%
group_by(designations) %>%
summarise(des_area_type = sum(proposed_cons_area)/10000) %>%
ungroup() %>%
mutate(des_area_all = sum(des_area_type))
#write_sf(des_lands_inc_vis, "out/des_lands_inc_vis.gpkg")
write_csv(inc_des_summary_flat, "out/des_lands_flat_inc.csv")
#Table 2 - summarize the type and area of conservation area (with overlaps)
inc_des_summary_overlapping <- des_lands_inc_vis %>%
mutate(proposed_cons_area= as.numeric(st_area(.)),
proposed_cons_area = as.numeric(set_units(proposed_cons_area, ha))) %>%
st_drop_geometry() %>%
group_by(designation) %>%
summarise(des_area_type = sum(proposed_cons_area)/10000)
write_csv(inc_des_summary_overlapping, "out/des_lands_overlapping_inc.csv")
inc_og<-cbind(inc_priority_og, inc_priority_og_pa, inc_priority_og_des, inc_priority_og_uwr, inc_all_og, inc_all_og_pa,
inc_all_og_uwr, inc_all_og_uwr, inc_area)
inc_summary_og <- inc_og %>%
mutate(priority_unprotected_og = og_priority_area - og_priority_pa_area - og_priority_uwr_area,
all_unprotected_og = all_og_area-all_og_pa_area-all_uwr_area,
perc_priority_unprot = priority_unprotected_og/og_priority_area*100,
perc_all_unprot = all_unprotected_og/all_og_area*100)
#unprot_area = caribou_area - ppa - oecm,
#priority_no_des = og_priority_area - og_des_area,
#non_des_area = caribou_area - ppa - oecm -caribou_area_des,
#perc_unprot = non_des_area/caribou_area*100)
pa_inc <- pa_inc %>%
mutate(pa_area= as.numeric(st_area(.)),
pa_area = as.numeric(set_units(pa_area, ha))) %>%
group_by(pa_type) %>%
summarise(area_type = sum(pa_area))
write_sf(pa_inc, "out/pa_inc.gpkg")
ppa <- pa_inc %>%
filter(pa_type == "ppa")
write_sf(ppa, "out/ppa_inc.gpkg")
oecm <- pa_inc %>%
filter(pa_type == "oecm")
write_sf(oecm, "out/oecm_inc.gpkg")
tar_load(c(inc_ch, inc_ch_des))
ch <-inc_ch %>%
mutate(ch_area = as.numeric(st_area(.)),
ch_area = as.numeric(set_units(ch_area, ha))) %>%
group_by(common_name_english) %>%
summarise(ch_incca = sum(ch_area)/10000)
write_sf(ch, "out/inc_ch.gpkg")
ch <- ch %>%
st_drop_geometry()
ch_des <-inc_ch_des %>%
mutate(ch_pa_area = as.numeric(st_area(.)),
ch_pa_area = as.numeric(set_units(ch_pa_area, ha))) %>%
group_by(common_name_english) %>%
summarise(ch_incca_pa = sum(ch_pa_area)/10000)
write_sf(ch_des, "out/ch_des.gpkg")
ch_des <- ch_des %>%
st_drop_geometry()
ch_comb <- ch %>%
left_join(ch_des) %>%
mutate(perc_cons = ch_incca_pa/ch_incca*100)
write_csv(ch_comb, "inc_ch.csv")
ch_overall <- ch %>%
left_join(ch_pa, by='common_name_english') %>%
left_join(ch_des, by='common_name_english') %>%
mutate(unprot = ch_incca - ch_incca_pa - ch_incca_uwr)
write_csv(ch_overall, "out/ch_inc_overall.csv")
caribou_ch <-inc_ch %>%
mutate(ch_area = as.numeric(st_area(.)),
ch_area = as.numeric(set_units(ch_area, ha))) %>%
group_by(common_name_english) %>%
summarise(sum_ch_area = sum(ch_area)) %>%
filter(common_name_english == "Caribou - Southern Mountain population")
write_sf(caribou_ch, "out/caribou_ch.gpkg")
whitebark_pine <-inc_ch %>%
mutate(ch_area = as.numeric(st_area(.)),
ch_area = as.numeric(set_units(ch_area, ha))) %>%
group_by(common_name_english) %>%
summarise(sum_ch_area = sum(ch_area)) %>%
filter(common_name_english == "Whitebark Pine")
write_sf(whitebark_pine, "out/whitebark_pine.gpkg")
ch_des_sf <-inc_ch_des_vis %>%
mutate(ch_uwr_area = as.numeric(st_area(.)),
ch_uwr_area = as.numeric(set_units(ch_uwr_area, ha))) %>%
group_by(designation, common_name_english) %>%
summarise(ch_uwr_area = sum(ch_uwr_area)) %>%
filter(designation == "uwr_conditional_harvest"|designation == "uwr_no_harvest")
caribou_area <- c_area %>%
mutate(ch_area = as.numeric(st_area(.)),
ch_area = as.numeric(set_units(ch_area, km^2))) %>%
st_drop_geometry() %>%
group_by(herd) %>%
summarise(sum_caribou_area = sum(ch_area))
caribou_area_pa <-inc_caribou_pa %>%
mutate(pa_area = as.numeric(st_area(.)),
pa_area = as.numeric(set_units(pa_area, km^2))) %>%
st_drop_geometry() %>%
group_by(herd) %>%
summarise(sum_pa_area = sum(pa_area))
caribou_area_pa_des <- inc_caribou_pa_des %>%
mutate(pa_uwr_area = as.numeric(st_area(.)),
pa_uwr_area = as.numeric(set_units(pa_uwr_area, ha))) %>%
st_drop_geometry() %>%
filter(designation == "uwr_conditional_harvest"|designation == "uwr_no_harvest") %>%
group_by(herd) %>%
summarise(sum_pa_uwr_area = sum(pa_uwr_area))
sum_caribou_area <- caribou_area %>%
left_join(caribou_area_pa) %>%
left_join(caribou_area_pa_des) %>%
mutate()
tar_load(c(inc_forest, inc_tenures, inc_harv, inc_mine_potential, inc_land))
inc_cutblocks <- inc_forest %>%
mutate(for_area = as.numeric(st_area(.)),
for_area = as.numeric(set_units(for_area, ha))) %>%
st_drop_geometry() %>%
group_by(LIFE_CYCLE_STATUS_CODE) %>%
summarise(for_area_sum = sum(for_area)/10000,
n_cutblock_total = n())
inc_cutblock_licensees <- inc_forest %>%
mutate(for_area = as.numeric(st_area(.)),
for_area = as.numeric(set_units(for_area, ha))) %>%
st_drop_geometry() %>%
group_by(CLIENT_NAME, LIFE_CYCLE_STATUS_CODE) %>%
summarise(for_licensee_sum = sum(for_area)/10000,
n_cutblocks = n()) %>%
left_join(inc_cutblocks) %>%
mutate(perc_of_total = for_licensee_sum/for_area_sum*100)
write_csv(inc_cutblock_licensees, "out/inc_licensee_list.csv")
inc_tenure_sum <- inc_tenures %>%
mutate(for_area = as.numeric(st_area(.)),
for_area = as.numeric(set_units(for_area, ha))) %>%
st_drop_geometry() %>%
group_by(CLIENT_NAME, LIFE_CYCLE_STATUS_CODE) %>%
summarise(for_area_sum = sum(for_area)/10000,
n_cutblocks = n())
write_csv(inc_tenure_sum, "out/inc_managed_license_list.csv")
inc_harvest_sum <- inc_harv %>%
mutate(for_area = as.numeric(st_area(.)),
for_area = as.numeric(set_units(for_area, ha))) %>%
st_drop_geometry() %>%
filter(LIFE_CYCLE_STATUS_CODE != "RETIRED") %>%
group_by(CLIENT_NAME, LIFE_CYCLE_STATUS_CODE) %>%
summarise(harv_area_sum = sum(for_area)/10000,
n_cutblocks = n()) %>%
left_join(inc_cutblocks) %>%
mutate(perc_of_total = harv_area_sum/for_area_sum*100)
write_csv(inc_harvest_sum, "out/inc_harv_auth_list.csv")
inc_land_sum <- inc_land %>%
mutate(land_area = as.numeric(st_area(.)),
land_area = as.numeric(set_units(land_area, ha))) %>%
st_drop_geometry() %>%
group_by(TENURE_STATUS, TENURE_TYPE, TENURE_PURPOSE, TENURE_SUBPURPOSE) %>%
summarise(land_area_sum = sum(land_area)/10000,
n_tenure_total = n()) %>%
ungroup() %>%
mutate(n_tenure_overall=sum(n_tenure_total))
write_csv(inc_land_sum, "out/inc_land_tenure.csv")
inc_mineral <- inc_mine_potential %>%
mutate(mine_area = as.numeric(st_area(.)),
mine_area = as.numeric(set_units(mine_area, ha))) %>%
st_drop_geometry() %>%
group_by(OWNER_NAME) %>%
summarise(mine_area_sum = sum(mine_area)/10000,
n_claim = n()) %>%
ungroup() %>%
mutate(overall_area = sum(mine_area_sum),
n_claims_overall=sum(n_claim))
write_csv(inc_mineral, "out/inc_mineral_claims.csv")
# PIP areas
tar_load(c(pip_inc))
inc_pip_summary <- pip_inc %>%
mutate(pip_area = st_area(.),
pip_area = as.numeric(set_units(pip_area, ha))) %>%
st_drop_geometry() %>%
group_by(CONTACT_ORGANIZATION_NAME, CNSLTN_AREA_NAME) %>%
summarise(area = sum(pip_area))