Hi, Will send in a day or two privately. I have at least two versions.
On Wednesday, September 20, 2017 at 3:07:44 PM UTC+5:30, Justin wrote: > > 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] <javascript:>> > 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.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]. >>>> 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] <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.
