>>This is not complete for all of India. The boundaries are also heavily generalized.
I think a Good enough Spatial data for useful boundaries, I mean a usable boundary at ground level Does not exist. At least in digital form. I am working on a Block in Uttrakhand and trying to make as good as possible Georeferenced Village map. >From the different versions on data available there is an area variation from about 25% to 200% and even more in rare cases So the village boundaries tell only the following. 1. The general shape of village 2. The adjacent villages in correct orientation. Beyond that it is UNRELIABLE so the question of a Good quality boundary is far too away. The situation may differ from state to state and location to location. Here is the area variation. In hectares The total block area matches reasonably Village Number GIS AREA Revenue Records Area 1 601.91 888 2 144.43 46 3 542.76 591 4 109.19 101 5 343.24 418 6 94.58 153 7 128.16 125 8 348.82 406 9 192.34 205 10 386.91 398 11 183.28 192 12 201.04 189 13 65.26 60 14 241.54 271 15 65.57 41 16 264.62 328 17 80.66 72 18 272.74 278 19 332.67 267 20 263.73 21 21 107.21 139 22 32.89 18 23 129.43 106 24 35.74 29 25 157.12 151 26 75.34 185 27 75.34 180 28 80.37 81 29 78.60 322 30 332.86 205 31 401.28 443 32 115.64 94 33 221.42 156 34 289.91 275 35 180.00 189 36 38.47 19 37 669.13 686 38 195.84 147 39 176.93 204 40 237.92 201 41 197.96 93 42 178.93 235 43 139.76 199 44 150.22 142 45 337.39 362 46 140.16 130 47 329.78 297 48 148.92 137 49 53.27 61 50 189.64 177 51 271.95 301 52 537.06 546 53 98.52 112 54 216.79 240 55 221.72 221 56 169.23 159 57 256.80 172 58 244.65 180 59 323.52 342 60 155.57 139 61 198.16 226 62 551.58 547 63 181.48 154 64 191.56 202 65 116.32 75 66 222.39 91 67 674.67 477 68 131.45 205 69 186.58 180.00 70 275.32 192 71 161.26 140 72 205.72 184 73 153.82 198 74 153.15 147 75 122.96 113 76 195.78 148 77 88.32 92 78 172.03 88 79 38.98 20 80 290.14 213 81 140.46 63 82 227.49 217 83 315.18 213 84 192.45 297 85 148.57 224 86 304.51 228 87 330.13 302 88 362.33 303 89 842.47 787 90 854.31 301 91 413.11 459 92 246.49 196 93 141.21 188 94 50.20 43 95 224.15 421 96 330.24 320 97 257.30 305 98 122.78 126 99 76.21 82 100 82.24 77 101 281.56 335 102 447.84 622 103 163.20 243 104 225.56 98 105 77.61 61 106 191.88 132 107 166.23 161 108 419.17 497 109 179.60 178 110 114.45 53 111 129.30 129 112 190.41 72 113 152.22 180 114 214.67 244 115 51.76 78 116 193.90 267 117 133.99 96 118 233.88 224 119 106.42 81 120 89.75 51 121 120.77 92 122 70.04 84 Total Block 26784.47 25947 On Wednesday, September 20, 2017 at 8:18:58 AM UTC+5:30, Justin wrote: > > This is not complete for all of India. The boundaries are also heavily > generalized. > > Thanks for the update > > On Sep 19, 2017 9:47 PM, "nishadh" <[email protected] <javascript:>> > wrote: > >> Hi Justin, >> >> I am in need of such data. The dataset having 2001-2011 will be much >> helpful in understanding air pollution emission from residential fuel >> consumption. Census of India 2011 has sample data on every village with >> number of houses using various fuels for cooking or lighting purposes. Data >> linking 2001 and 2011 housing listing table with spatial information could >> be a great data set in preparing high resolution air pollutant emission >> inventory for country level and studying temporal change. >> >> A good start for such scale data compile can be linking it with project >> on datameet village maping >> http://projects.datameet.org/indian_village_boundaries/ >> >> >> Regards, >> >> Nishadh >> >> -- >> Datameet is a community of Data Science enthusiasts in India. Know more >> about us by visiting http://datameet.org >> --- >> You received this message because you are subscribed to a topic in the >> Google Groups "datameet" group. >> To unsubscribe from this topic, visit >> https://groups.google.com/d/topic/datameet/YzZGG1c2jrQ/unsubscribe. >> To unsubscribe from this group and all its topics, send an email to >> [email protected] <javascript:>. >> For more options, visit https://groups.google.com/d/optout. >> > -- Datameet is a community of Data Science enthusiasts in India. Know more about us by visiting http://datameet.org --- You received this message because you are subscribed to the Google Groups "datameet" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
