From a2f61ea299e062b7de8b055727e46ca907ad08eb Mon Sep 17 00:00:00 2001 From: Jeremy Kidwell Date: Fri, 22 Feb 2019 18:21:35 +0000 Subject: [PATCH] fixed tables --- figures/create_choropleth_others-1.png | Bin 254541 -> 337178 bytes figures/create_choropleth_others-2.png | Bin 227999 -> 324664 bytes figures/create_choropleth_others-3.png | Bin 268023 -> 334835 bytes ...eate_urbanrural_ecs_chart_choropleth-1.png | Bin 338799 -> 327583 bytes .../plot_admin_ecs_admin2_choropleth-1.png | Bin 244419 -> 0 bytes figures/plot_admin_ecs_choropleth-1.png | Bin 376596 -> 315692 bytes .../plot_admin_ecs_normed_choropleth-1.png | Bin 238990 -> 321685 bytes .../plot_admin_ecs_normed_choropleth-2.png | Bin 219070 -> 316139 bytes mapping_draft.Rmd | 8 ++++++-- 9 files changed, 6 insertions(+), 2 deletions(-) delete mode 100644 figures/plot_admin_ecs_admin2_choropleth-1.png diff --git a/figures/create_choropleth_others-1.png b/figures/create_choropleth_others-1.png index a8f823cea4b2c4dc41fc893e59a6e2bd9bc5a00f..1a0ce41f52cf04fc783536e38cfc6379cefdae88 100644 GIT binary patch literal 337178 zcmeFZ^;?wf`aLX&qzV!uA}O6pN`oNXNOyNg4~?{RH$!)K44`zQ)X+#tGca_2Z=U_^ z{n=ah@%{ntv47(L?t88{uk&2zTI-q+d0DY1=r7S9Jb3U#LR>`g!2_hq2M-?2qap*p zVbOEZ0DkerTv%9MLRgqo-rm;4+{*aDgLmQK%GzeHlyUi6986zRj3`;L1vnN8JfVCN ztHPF5+w8rtz+sah!7)p|X>__jlGH!)jXSTX0!}C=nj%ClZ62UxgUKkq8F` z%7e}bZkN#{0^1tIrv{r1Zw0%U-5Qq-p`8x=Ug72@YYZ#n!H<-cEP@lUB8R%qMIT?i zt(?-$l(E<;-dxW%NOfAstg?gY--4~bnFSnKcNUB$gZceo`dU}??35eJ3SCmgF<{Ya z)D=r>&-zzC=Mqw*p9vsG%`c`@P6t{tM%j&+6d2RS}95Jjg29I)X3@Ck@ zE-8-fPW$HE)xfR+hw~tP4QbX)IqbE+vR2A~Z>(>#rwqD-M6NF(An{XAdob7DmdECi ze*z=QbzWkeA6}PVuy>ZI(CNm?ZPmOa)1#^d_hkT}JKU zGb0*7ssiiXt;{W`- z`sH;*>GN^p!;%0kLmUAw22Ml)DgsjM8NX2-7Kzj7Pb>)Jpf9{Kr?Ic9ag1P>(~?#n zba*+ZZXjW-iutJ@7Px9#GWG6Q>7=!kprs5?>jPg8(q28%ZoTf&tYC;Gzs3zYz(;D&WnrO1frdn}(%y7{YQGJ}-X6MN;o{Q92 ztij6)4!VSt?akoA7lD1!5oSt3v(_4fk6??(k;kblEtoi(Ok!zQkH5AF9PVB*twhv5 zNORP0CG(QqT$Vg9?#ui9 zV3B-u1%g;w7D_{!n&2UF|GtC%sJ8?=B@{-IM!{peqn$2yCANE~T^6sDcmv{l{mN^6#>5vNiwvU$N|v zuqs_&|K}tB{8y2b2Z$=Ua+v9U|Lw(Cf?rqo{`k1Rp2adpL{*FC=W~4e?<4u=YXu)5 zgr5D^H~I+XqLJ!-xIF&O_1i4|ein&g@!|iy=HFi)P37Z*w>2)j@#hNMKLAV;^M8~4 z-%kF1I{pf#|Ai}X+WvPY|Cf0FmtFt=Q9^vPNqq!uo=w-9$Cha|v4{=hF=QiC_LG?!NP+!2c8Cn!hIVg|824Mw5TQwvkd% zE7xi=N~KvsMw%+qG`$}MhgmY!pP$ww_5gwYOl?f@m2WSx`_SpU!)W7JX_@op_iryb ztTvrz-C?aY^{jQQly4kzVpu5YZU*!O^GyN_;AZwZ(7>JI0jypFm6`KybOx(ccTeAah_rwXYTvg+ESV55)Zc zz(Kh}4=_vFNEM8GpCxhHW&ry)=9FpB{Y52TIyo-=Vl`4=w*}T#(|&h5CmBy?45yp5 ztY{qyYQ4FFwbui?3l$B2$zE#qgOS9S%i-5_3cKZe{Xjf@%S|ki)y?I}{)<_iLU}TL zFMM524~Bq^qKpCli!~h0daGoN3f`YS4@>Qq%beC^QaNTy)oY{?$C=x&4N@-TmXq9f ztAgU0w7GBPXLK+z)K=nB>z(&Bu7Ih_=zjr*(^95UH;^t+HSMzGxsYUk!-J zHVe&7ujF(+4g*S#MtERqC)<;Lmp4~u4HfOTvt^jXywgtwt`GDyuRG?O9QMvvBVD>F zr4ninS9^O^t5R*6`>CXpeh$>##H;F50lUqauanO0WHnK!;QKW{9M*oSAW%~21;4%5p*+}YSeos|*R_&LWRiJ@L`mDeQ{IwB9V@4nQMtmw zkoNA=ipom-Q`I_)NkNE4n@5vGrTb1mA7~mb~v; 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zu;sd4{;>}KTdcp$&Y!#Fe~a~dm;LW#{W`;*NdG%ozYXI5%;0ak@&EK$jX!Q(N`=ak U$nl^ffPXK=UO&%&rtAHG066^KVgLXD diff --git a/mapping_draft.Rmd b/mapping_draft.Rmd index ad28501..3580917 100644 --- a/mapping_draft.Rmd +++ b/mapping_draft.Rmd @@ -240,6 +240,9 @@ permaculture_sf <- st_as_sf(permaculture, coords = c("X", "Y"), crs=27700) # calculate count of ECS for fields in admin and provide percentages # JK Note: need to convert from poly.counts, which uses sp() to st_covers() which uses sf() - cf. https://stackoverflow.com/questions/45314094/equivalent-of-poly-counts-to-count-lat-long-pairs-falling-inside-of-polygons-w#45337050 +ecs <- spTransform(ecs, proj4string(admin_lev1)) +transition <- spTransform(transition, proj4string(admin_lev1)) + admin_lev1$ecs_count <- poly.counts(ecs,admin_lev1) admin_lev1$ecs_percent<- prop.table(admin_lev1$ecs_count) # calculate count of places of worship in PointX db for fields in admin and provide percentages @@ -659,7 +662,8 @@ ggplot(urbanrural_gathered, # Generate static plot for printing tm_shape(urbanrural_sf_simplified) + - tm_polygons(col = "UR8FOLD", palette = "BrBG", lwd=0.001, n=9, title = "UrbanRural 8 Fold Scale") + + tm_polygons(col = "UR8FOLD", palette = "BrBG", lwd=0.001, n=9, + title = "UrbanRural 8 Fold Scale") + tm_shape(ecs_sf) + tm_dots("red", size = .05, alpha = .2) + tm_scale_bar(position = c("left", "bottom")) + @@ -1199,7 +1203,7 @@ admin_lev1_df %>% ```{r admin_table_withproportions} -admin_lev1_prop_df <- as_data_frame(admin_lev1[,c(3:14,23:26)]) +admin_lev1_prop_df <- as_data_frame(admin_lev1[,c(3,5:14,22:25)]) admin_lev1_prop_df %>% kable(format = "html", col.names = colnames(admin_lev1_prop_df)) %>%

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