HI, I have sent it as a private response
On Wednesday, September 20, 2017 at 5:33:33 PM UTC+5:30, Justin wrote: > > thanks. As soon as you send it, I can compare with what I have and send > you two or three versions of villages for that area. > > I know sometimes generalized data for boundaries is good enough. But the > higher quality, more detailed data going into any dataset would be best. > Then you can generalize if it is too big or you do not need for analysis > purposes. But people become very upset when their boundaries are not > displayed correct, or when you tell them they are in one village/ city but > are actually in the next town or two over. > > Thanks for your help! > > Justtin > > On Wed, Sep 20, 2017 at 7:44 AM, Dilip Damle <[email protected] > <javascript:>> wrote: > >> 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]> 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]. >>>> 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.
