I think Ajeya is right. Data has lot of null values in the center of city like Delhi, chennai. Saba please check whether this is useful for analytics.
On Sunday, February 2, 2020 at 10:57:21 AM UTC+5:30, Ajeya Raj wrote: > > anyone validated this data? for india i didn't find it much usefull > > On Sat, Feb 1, 2020 at 1:57 PM Nikhil VJ <[email protected] <javascript:>> > wrote: > >> Hi Saba, >> >> Sharing two approaches, one of which I've taken to replicate at my end >> what mapbox does, without relying on them, to make this: >> >> https://server.nikhilvj.co.in/watershed_overlap_map/overlap-watershed2.html >> >> 1. *QMetaTiles* plugin on QGIS >> >> Generate tiles from QGIS project >> >> Generates raster tiles from QGIS project for selected zoom levels and >> tile naming conventions (Slippy Map or TMS). It can also package tiles for >> variety of formats and applications, NextGIS Mobile, GeoPaparazzi, simple >> Leaflet-based viewer and MBTiles. >> >> >> could be used to generate tiles from a large GeoTIF, host own tiles as >> an alternative to mapbox >> >> >> 2. Gdal2tiles program >> >> Command-line: https://github.com/commenthol/gdal2tiles-leaflet >> >> GUI tool : https://wiki.osgeo.org/wiki/MapSlicer >> >> >> I think I'd done the latter and later on found out about the former as a >> much simpler way. >> >> >> In QMetaTiles plugin, check on the "write leaflet..." option and it >> should also generate a webpage for you. Then you can just upload the >> webpage and the folder onto a website and you have both a generic page and >> a custom tile-layer URL path to give to others. >> >> >> Extra Detail: >> >> What either of these do is : cut up that one big image into "slippy" map >> tiles, the kind you see when you see on a web map. Thousands of 256x256 >> pixel images at different zoom levels, which can then be loaded onto a >> webmap as a custom background tiles source. Advantage is that a user can >> easily browse around and only the required portions are loaded quickly, >> rather than having to load up the entire tif. >> >> >> Side note: The same tech can be used for tiling non-map large images too. >> Working example: >> https://server.nikhilvj.co.in/tilemaker/leaflet-painting.html#1/0/0 >> >> >> -------- >> >> Data related >> >> I opened the link to humdata site you mentioned in your email and tried >> downloading the data. Didn't work from browser at all - download would >> reach 90-something percent and then die off. Then I went on my website >> server and downloaded there and it worked, and it worked by command-line >> "wget" on my ubuntu laptop. >> >> >> Loading the .tif on QGIS, lookin good: >> [image: AS44.png] >> >> ... but it's not the whole country. >> All the maps from AS42 through AS47 can be seen here: >> https://data.humdata.org/search?q=southasia&ext_search_source=main-nav >> >> >> More links related: >> https://data.humdata.org/organization/facebook >> >> https://ai.facebook.com/blog/mapping-the-world-to-help-aid-workers-with-weakly-semi-supervised-learning >> >> -- >> Cheers, >> Nikhil VJ >> https://nikhilvj.co.in >> >> >> On Fri, Jan 31, 2020 at 6:02 PM Saba Mundlay <[email protected] >> <javascript:>> wrote: >> >>> >>> Hi Friends, >>> >>> I've *really* been struggling to get these datasets >>> <https://data.humdata.org/dataset/southasia_as434-high-resolution-population-density-maps> >>> >>> onto Mapbox. Would appreciate guidance / help. The issue seems to be that >>> the dataset is a 64-bit tif, and mapbox maxes out at 8-bit tifs... >>> I know that it CAN be done because of this blog >>> <https://blog.mapbox.com/ebola-response-platform-fc092fdbead1>. >>> >>> -- >>> 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] <javascript:>. >>> To view this discussion on the web visit >>> https://groups.google.com/d/msgid/datameet/4a03621f-0f10-413a-b75a-c793e5e054f9%40googlegroups.com >>> >>> <https://groups.google.com/d/msgid/datameet/4a03621f-0f10-413a-b75a-c793e5e054f9%40googlegroups.com?utm_medium=email&utm_source=footer> >>> . >>> >> -- >> Datameet is a community of Data Science enthusiasts in India. 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