Dilip, I never received it? Can you e-mail me? [email protected]
Thanks On Saturday, September 23, 2017 at 1:23:00 PM UTC-4, Dilip Damle wrote: > > 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]> 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]. >>> 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.
