data changes, and readme

Poverty/PovertyEstimates2001.csv

@@ -0,0 +1,76 @@
+Region,District,PovertyIncidence,S.E.-P.I.,PovertyGap,S.E-P.G.,PovertySeverity,S.E.-P.S.
+Eastern,Taplejung,0.518,0.025,0.17,0.012,0.075,0.007
+Eastern,Panchthar,0.525,0.022,0.17,0.011,0.074,0.006
+Eastern,Ilam,0.397,0.017,0.121,0.008,0.051,0.005
+Eastern,Jhapa,0.134,0.013,0.031,0.004,0.011,0.001
+Eastern,Morang,0.172,0.011,0.041,0.003,0.015,0.001
+Eastern,Sunsari,0.212,0.014,0.052,0.004,0.019,0.002
+Eastern,Dhankuta,0.46,0.021,0.144,0.01,0.062,0.005
+Eastern,Terhathum,0.425,0.022,0.13,0.01,0.055,0.005
+Eastern,Sankhuwasabha,0.487,0.026,0.151,0.011,0.064,0.006
+Eastern,Bhojpur,0.525,0.021,0.168,0.01,0.073,0.006
+Eastern,Solukhumbu,0.463,0.037,0.141,0.016,0.059,0.008
+Eastern,Okhaldhunga,0.427,0.034,0.128,0.014,0.053,0.007
+Eastern,Khotang,0.535,0.023,0.175,0.012,0.077,0.007
+Eastern,Udayapur,0.508,0.021,0.161,0.01,0.069,0.006
+Eastern,Saptari,0.28,0.017,0.068,0.005,0.024,0.002
+Eastern,Siraha,0.29,0.018,0.07,0.006,0.025,0.003
+Central,Dhanusa,0.269,0.019,0.063,0.006,0.022,0.002
+Central,Mahottari,0.291,0.023,0.069,0.008,0.024,0.003
+Central,Sarlahi,0.264,0.022,0.061,0.007,0.021,0.003
+Central,Sindhuli,0.603,0.018,0.209,0.012,0.094,0.007
+Central,Ramechhap,0.48,0.023,0.148,0.011,0.063,0.006
+Central,Dolakha,0.336,0.017,0.092,0.007,0.036,0.003
+Central,Sindhupalchok,0.37,0.016,0.102,0.006,0.04,0.003
+Central,Kavrepalanchok,0.351,0.014,0.111,0.007,0.048,0.004
+Central,Lalitpur,0.101,0.009,0.028,0.003,0.011,0.001
+Central,Bhaktapur,0.087,0.014,0.02,0.004,0.007,0.002
+Central,Kathmandu,0.044,0.007,0.01,0.002,0.004,0.001
+Central,Nuwakot,0.374,0.016,0.109,0.007,0.044,0.004
+Central,Rasuwa,0.509,0.026,0.162,0.014,0.069,0.008
+Central,Dhading,0.433,0.017,0.133,0.008,0.056,0.004
+Central,Makwanpur,0.43,0.016,0.141,0.01,0.062,0.006
+Central,Rautahat,0.302,0.021,0.071,0.007,0.025,0.003
+Central,Bara,0.269,0.022,0.063,0.007,0.022,0.003
+Central,Parsa,0.235,0.019,0.055,0.006,0.019,0.002
+Central,Chitawan,0.119,0.01,0.029,0.003,0.011,0.001
+Western,Gorkha,0.382,0.017,0.112,0.007,0.046,0.004
+Western,Lamjung,0.315,0.016,0.091,0.006,0.037,0.003
+Western,Tanahu,0.346,0.019,0.105,0.008,0.044,0.005
+Western,Syangja,0.351,0.02,0.105,0.009,0.044,0.005
+Western,Kaski,0.111,0.008,0.029,0.003,0.012,0.001
+Western,Manang,0.212,0.048,0.051,0.015,0.018,0.006
+Western,Mustang,0.258,0.043,0.064,0.015,0.023,0.007
+Western,Myagdi,0.348,0.021,0.098,0.008,0.039,0.004
+Western,Parbat,0.341,0.017,0.1,0.007,0.041,0.004
+Western,Baglung,0.402,0.018,0.12,0.008,0.05,0.004
+Western,Gulmi,0.425,0.019,0.131,0.009,0.056,0.005
+Western,Palpa,0.429,0.02,0.135,0.01,0.058,0.006
+Western,Nawalparasi,0.363,0.017,0.109,0.007,0.045,0.004
+Western,Rupandehi,0.3,0.02,0.084,0.008,0.034,0.004
+Western,Kapilbastu,0.401,0.026,0.115,0.011,0.046,0.005
+Western,Arghakhanchi,0.441,0.02,0.137,0.009,0.059,0.005
+Midwest,Pyuthan,0.515,0.023,0.164,0.012,0.071,0.007
+Midwest,Rolpa,0.587,0.025,0.184,0.013,0.078,0.007
+Midwest,Rukum,0.491,0.029,0.143,0.013,0.058,0.006
+Midwest,Salyan,0.455,0.025,0.133,0.011,0.054,0.006
+Midwest,Dang,0.429,0.018,0.127,0.008,0.052,0.004
+Midwest,Banke,0.412,0.024,0.124,0.011,0.051,0.006
+Midwest,Bardiya,0.449,0.026,0.128,0.011,0.051,0.005
+Midwest,Surkhet,0.47,0.018,0.147,0.009,0.062,0.005
+Midwest,Dailekh,0.516,0.021,0.159,0.01,0.067,0.006
+Midwest,Jajarkot,0.441,0.025,0.124,0.011,0.049,0.005
+Midwest,Dolpa,0.397,0.054,0.105,0.02,0.04,0.009
+Midwest,Jumla,0.344,0.044,0.086,0.014,0.031,0.006
+Midwest,Kalikot,0.568,0.061,0.18,0.029,0.076,0.016
+Midwest,Mugu,0.51,0.04,0.155,0.018,0.065,0.01
+Midwest,Humla,0.415,0.043,0.111,0.015,0.042,0.007
+Far West,Bajura,0.482,0.022,0.148,0.01,0.063,0.006
+Far West,Bajhang,0.473,0.025,0.143,0.011,0.06,0.006
+Far West,Achham,0.516,0.023,0.16,0.011,0.068,0.006
+Far West,Doti,0.464,0.024,0.143,0.011,0.061,0.006
+Far West,Kailali,0.504,0.026,0.155,0.012,0.065,0.007
+Far West,Kanchanpur,0.424,0.024,0.128,0.011,0.054,0.006
+Far West,Dadeldhura,0.403,0.024,0.119,0.01,0.049,0.005
+Far West,Baitadi,0.368,0.025,0.101,0.01,0.04,0.005
+Far West,Darchula,0.377,0.024,0.109,0.01,0.044,0.005

Poverty/README.md

@@ -1,4 +1,8 @@
 SmallAreaPovertyMapping
 ===
 
-Chandan Sapkota, who one of my friend Bigyan calls the "Ezra Klein of Nepal", produces amazing analysis about Nepal, taking data sources from the obscure reports of government institutions and writing them up in blog posts. This project extends his ["Poverty by District in Nepal"](http://sapkotac.blogspot.com/2013/07/poverty-by-district-in-nepal.html) blog post, by maping maps of the data Chandan bar-charts for us. CSV data was digitized from a [pdf produced by the Central Bureau of Statistics](http://cbs.gov.np/wp-content/uploads/2014/06/Small%20Area%20Estimates%20of%20Poverty,%202011.pdf) (thanks Chandan for linking to the data source!), with two district spelling corrections by author.
+Chandan Sapkota, who one of my friend Bigyan calls the "Ezra Klein of Nepal", produces amazing analysis about Nepal, taking data sources from the obscure reports of government institutions and writing them up in blog posts. This project extends his ["Poverty by District in Nepal"](http://sapkotac.blogspot.com/2013/07/poverty-by-district-in-nepal.html) blog post, by maping maps of the data Chandan bar-charts for us. 
+
+Data Sources:
+PovertyEstimates2001.csv: Derived from [2006 CBS report on Small Area Estimates of Poverty, Caloric Intake and Malnutrition in Nepal](http://cbs.gov.np/wp-content/uploads/2012/Others/SAE%20of%20Poverty,%20Caloric%20Intake%20and%20Malnutrition%20in%20Nepal.pdf), pages D1-D3 in Appendix D. Kavre is expanded to Kavrepalanchok in csv.
+PovertyEstimates2011.csv: Derived from [Small Area Estimates of Poverty](http://cbs.gov.np/wp-content/uploads/2013/06/Small%20Area%20Estimates%20of%20Poverty,%202011.pdf), with two district spelling changes by author.

Poverty/index.rmd

@@ -7,7 +7,7 @@ So lets load the data and the "NepalMapUtils" R file to get started.
 
 ## 0. Data preparation
 
-Lets load up the data and our map convenience functions. This works fine if you do a [setwd] to inside the "SmallAreaPoverty" folder within [NepalMaps](http://github.com/prabhasp/NepalMaps).
+Lets load up the data and our map convenience functions. This works fine if you do a [setwd](http://www.statmethods.net/interface/workspace.html) to inside the "SmallAreaPoverty" folder within [NepalMaps](http://github.com/prabhasp/NepalMaps).
 ```{r echo=T, comment=NA, fig.height=6, fig.width=10, cache=TRUE}
 poverty <- read.csv("SmallAreaPovertyEstimation.csv")
 source("../NepalMapUtils.R")
@@ -36,7 +36,7 @@ meanpoverty <- weighted.mean(poverty$PovertyIncidence, poverty$Population)
 npchoropleth(poverty, 'District', 'PovertyIncidence') + scale_fill_gradient2(low=muted('blue'), midpoint=meanpoverty, mid='white', high=muted('red'))
 ```
 
-In the second map, you can really see how (1) the far west and the western moutains are really hurting and (2) prosperity is pretty spatial: swaths of prosperity in the Kathmandu valley, the  Gandaki-Narayani anchal area (with Kaski (where Pokhara is) and Chitwan dominating), in the very east, and in Sarlahi / Mahottari (probably from Birgunj).
+In the second map, you can really see how (1) the far west and the western moutains are really hurting and (2) prosperity is pretty spatial: swaths of prosperity in the Kathmandu valley, the Pokhara-Chitwan area (and larger Gandaki / Lumbini zones), in the very east, and in Sarlahi / Mahottari (wonder why... these districts house neither Birgunj nor Janakpur).
 
 ## 2. Absolute poor (2011)