Dilip, Can you send your boundaries? I can send back what I have so you can compare and tell me if they are truly good enough
Thanks Justin Thanks On Sep 20, 2017 2:24 AM, "Dilip Damle" <[email protected]> wrote: > >>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]> 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.datamee >>> t.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/to >>> pic/datameet/YzZGG1c2jrQ/unsubscribe. >>> To unsubscribe from this group and all its topics, send an email to >>> [email protected]. >>> 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 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]. > 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.
