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.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/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.
