31:T429,md` The next immediate (albeit 'unofficial' ... of perhaps more accurately, 'quasi-official' data source I find is the [Humanitarian Data Exchange (HDX)](https://data.humdata.org/), a service maintained by the [United Nations Office for the Coordination of Humanitarian Affairs (OCHA)](https://www.unocha.org/). Geospatial data hosted by HDX for Sri Lanka are as follow (in the order returned by my search criteria): * [Sri Lanka administrative levels 0-4 boundaries](https://data.humdata.org/dataset/sri-lanka-administrative-levels-0-4-boundaries) * [Sri Lanka - Railways](https://data.humdata.org/dataset/sri-lanka-railways) * [Sri Lanka - Lagoons](https://data.humdata.org/dataset/sri-lanka-water-bodies-0) * [Sri Lanka - Main Roads](https://data.humdata.org/dataset/sri-lanka-roads) * [Sri Lanka - Tanks and Reservoirs](https://data.humdata.org/dataset/sri-lanka-water-bodies) * [Sri Lanka - River and Streams](https://data.humdata.org/dataset/sri-lanka-water-bodies-0-0) * [Sri Lanka - Contour Lines](https://data.humdata.org/dataset/sri-lanka-contour-lines) `32:T7d3,md` Clicking into the [datasest on administrative divisions](https://data.humdata.org/dataset/sri-lanka-administrative-levels-0-4-boundaries) (contributed by the [OCHA Field Information Services Section based in Geneva](https://data.humdata.org/user/ocha-fis-data)), the following file types are available: * [LKA COD-AB 2019_04_09.pdf](https://data.humdata.org/dataset/0bedcaf3-88cd-4591-b9d5-5d3220e26abf/resource/07586233-29c8-4452-8d3e-8050c6b0d8b5/download/lka-cod-ab-2019_04_09.pdf) * [LKA_AdminBoundaries_TabularData.xlsx](https://data.humdata.org/dataset/0bedcaf3-88cd-4591-b9d5-5d3220e26abf/resource/cbf0ce37-5ed7-4ff7-95b5-4e613a073340/download/lka_adminboundaries_tabulardata.xlsx) * [lka_adm_slsd_20190404_SHP.zip](https://data.humdata.org/dataset/0bedcaf3-88cd-4591-b9d5-5d3220e26abf/resource/51a81e72-583c-407f-bce6-6f7b42431c93/download/lka_adm_slsd_20190404_shp.zip) * [lka_adm_slsd_20190404.gdb.zip](https://data.humdata.org/dataset/0bedcaf3-88cd-4591-b9d5-5d3220e26abf/resource/1fc06242-62df-4d31-85f5-5d1bf85bae88/download/lka_adm_slsd_20190404.gdb.zip) * [lka_adm_slsd_20190404_KMZ.zip](https://data.humdata.org/dataset/0bedcaf3-88cd-4591-b9d5-5d3220e26abf/resource/9d554b93-cb51-4ad0-af43-fcf509ccc90c/download/lka_adm_slsd_20190404_kmz.zip) * [lka_adm_slsd_20190404_EMF.zip](https://data.humdata.org/dataset/0bedcaf3-88cd-4591-b9d5-5d3220e26abf/resource/0508a18e-30cc-4a13-b725-a2e90169cbfa/download/lka_adm_slsd_20190404_emf.zip) * [LKA_EN (MapServer)](https://gistmaps.itos.uga.edu/arcgis/rest/services/COD_External/LKA_EN/MapServer) * [LKA_pcode (FeatureServer)](https://gistmaps.itos.uga.edu/arcgis/rest/services/COD_External/LKA_pcode/FeatureServer) * [LKA_pcode (MapServer)](https://gistmaps.itos.uga.edu/arcgis/rest/services/COD_External/LKA_pcode/MapServer) * [LKA_SI (MapServer)](https://gistmaps.itos.uga.edu/arcgis/rest/services/COD_External/LKA_pcode/MapServer) * [LKA_TA (MapServer)](https://gistmaps.itos.uga.edu/arcgis/rest/services/COD_External/LKA_TA/MapServer) `33:T831,md` [WFP GeoNode](https://geonode.wfp.org/) is the [World Food Programme](https://www.wfp.org/)'s corporate web application for creating and sharing geospatial data and maps designed for non-GIS experts. Data for [Sri Lanka](https://geonode.wfp.org/search/?title__icontains=Sri%20Lanka&limit=10&offset=0) include: * [Sri Lanka Road Network (main roads)](https://geonode.wfp.org/layers/ogcserver.gis.wfp.org%3Ageonode%3Alka_trs_roads_osm) * [Sri Lanka streets and pathways](https://geonode.wfp.org/layers/ogcserver.gis.wfp.org%3Ageonode%3Alka_trs_streets_osm) * [Sri Lanka, Human Population Distribution in 2015](https://geonode.wfp.org/wfpdocs/sri-lanka-human-population-distribution-in-2015/) * [Sri Lanka, Flood and Landslide Affected People, 23 May 2016](https://geonode.wfp.org/wfpdocs/20160523-sri-lanka-situation-by-district-map/) * [Sri Lanka, Landslide Warning 18 May 2016](https://geonode.wfp.org/wfpdocs/sri-lanka-landslide-warning-map/) * [Sri Lanka, Number of Persons Affected by Heavy Rainfall and localized High Winds. Divisional Secretariat Level Update: 27 December 2014 18:00 hrs.](https://geonode.wfp.org/wfpdocs/2475/) * [Sri Lanka, Number of Persons Affected by Heavy Rain](https://geonode.wfp.org/wfpdocs/2476/) * [Sri Lanka, Estimated potentially affected people as of precipitation forecast from 23 to 30 December 2014](https://geonode.wfp.org/wfpdocs/2470/) * [Sri Lanka, Estimated potentially affected people as of precipitation forecast from 23 to 26 December 2014](https://geonode.wfp.org/wfpdocs/2472/) * [Sri Lanka, Minimum Cost of Diet Final, October 2014](https://geonode.wfp.org/documents/2755) * [Sri Lanka, Consolidated Livelihood Exercise for Analysing Resilience, January 2014](https://geonode.wfp.org/documents/2247) * [Sri Lanka, National Nutrition and Micronutrient Survey 2012](https://geonode.wfp.org/documents/2454) * [Sri Lanka, Assessment of Nutritional Status and Associated Factors in Northern Province 2012](https://geonode.wfp.org/documents/2225) * [Sri Lanka, WFP Comprehensive Food Security Assessment ](https://geonode.wfp.org/documents/1241) `34:[{"id":"51a5358d3eded52d4c56aedad59dc84dfb696c9f0de47ce4eebf78589edfa0f55e1020c02676216d8fc50e79ac17728c6026146b3a3d06312411f2cd6e166a2c","href":"https://static.observableusercontent.com/files/51a5358d3eded52d4c56aedad59dc84dfb696c9f0de47ce4eebf78589edfa0f55e1020c02676216d8fc50e79ac17728c6026146b3a3d06312411f2cd6e166a2c","name":"lka_adm0.geojson","type":"application/geo+json","lastModified":1573986167402.053,"size":12514948},{"id":"fec914402db53770a6cacf4ea1926be49204373c951f75de48218d6390d1aae1829ccfe7ab764bac8d3e737900a910a27f5de3e14310cb76f7f5744a73e911bd","href":"https://static.observableusercontent.com/files/fec914402db53770a6cacf4ea1926be49204373c951f75de48218d6390d1aae1829ccfe7ab764bac8d3e737900a910a27f5de3e14310cb76f7f5744a73e911bd","name":"lka_adm3_simplified.json","type":"application/json","lastModified":1573986775337.698,"size":13960756},{"id":"3ca1b9d247727f5c8739fef83f9bcd5a0b84ce9b38fbd5f2eac76fc68bdad9d6d0da00bc1762bfcef063db5d7eac77f5a9f6a69882fa20505aff338ef65be7b6","href":"https://static.observableusercontent.com/files/3ca1b9d247727f5c8739fef83f9bcd5a0b84ce9b38fbd5f2eac76fc68bdad9d6d0da00bc1762bfcef063db5d7eac77f5a9f6a69882fa20505aff338ef65be7b6","name":"lka_adm1_simplified.json","type":"application/json","lastModified":1573986773582.576,"size":8558017},{"id":"eb834da7189a0c9057d8f6f2e7f438d6a34ad62aa3990759da02a638fcfc3238c8f949e5b7ff9773972e2988f4674df977ac1b9c2ec689a0e3dc425b66791fa7","href":"https://static.observableusercontent.com/files/eb834da7189a0c9057d8f6f2e7f438d6a34ad62aa3990759da02a638fcfc3238c8f949e5b7ff9773972e2988f4674df977ac1b9c2ec689a0e3dc425b66791fa7","name":"lka_adm2_simplified.json","type":"application/json","lastModified":1573986774182.198,"size":10376324}] 2f:{"title":"Sri Lanka | Sources of Geospatial Data on Administrative Divisions","cells":[{"id":0,"value":"md`# Sri Lanka | Sources of Geospatial Data on Administrative Divisions`","pinned":false,"hidden":false,"mode":"ojs"},{"id":24,"value":"md`\nAs I am working more on safeguard issues in the Democratic Socialist Republic of Sri Lanka, I wish to improve my understanding of the state's geography and administrative divisions. This notebook reflects a sort of 'walk through' of my findings in this pursuit.\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":25,"value":"md`\nTo the greatest extent possible, I like to work with 'official' data sources—those published and maintained by state agencies. \n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":29,"value":"md`\nSri Lanka has several state agencies that host GIS services, including the [National Spatial Data Infrastructure (NSDI)]() program of the [Information and Communication Technology Agency (ICTA)](https://www.icta.lk/?attachment_id=10692) and the [Sri Lanka Survey Department](https://www.survey.gov.lk/). Unfortunately (for my purposes, at least), these agencies don't provide ready access to the datasets underlying these services. My search continues.\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":41,"value":"$31","pinned":false,"hidden":false,"mode":"ojs"},{"id":43,"value":"$32","pinned":false,"hidden":false,"mode":"ojs"},{"id":57,"value":"md`\nThis looks promising. I'll download, convert and load in the shapefile data:\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":59,"value":"hdx_admin0 = FileAttachment(\"lka_adm0.geojson\").json() // country","pinned":false,"hidden":false,"mode":"ojs"},{"id":60,"value":"hdx_admin1 = FileAttachment(\"lka_adm1_simplified.json\").json() // province","pinned":false,"hidden":false,"mode":"ojs"},{"id":67,"value":"hdx_admin2 = FileAttachment(\"lka_adm2_simplified.json\").json() // district","pinned":false,"hidden":false,"mode":"ojs"},{"id":69,"value":"hdx_admin3 = FileAttachment(\"lka_adm3_simplified.json\").json() // divisional secretariat","pinned":false,"hidden":false,"mode":"ojs"},{"id":87,"value":"sri_lanka_admin_map_hdx = html``","pinned":false,"hidden":false,"mode":"ojs"},{"id":46,"value":"md`\nGreat – it seems I'm done already!\n\nI should note that the HDX dataset also includes information for the \\`admin4\\` level (_grama niladhari_, or the gazetteer level), but I can't manage to simplify this layer to a size that can be uploaded into this notebook. Good enough for now, I suppose.\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":105,"value":"md`\n---\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":98,"value":"md`\nBefore concluding this notebook, I'd like to acknowledge a couple of other sources of geospatial data on Sri Lanka (in no particular order). \n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":100,"value":"md`\nThe [DIVA-GIS](https://www.diva-gis.org/) platform aims to provide free and simple (but versatile) GIS information that is particularly useful for studying the distribution of biodiversity. In addition to the platform itself, DIVA-GIS also links to [free country data](https://www.diva-gis.org/gdata), culled from a varitety of sources. For Sri Lanka these data include administrative areas, inland water, roads, railroads, elevation, land cover, population, climate, and gazetteer layers. Data sources include GADM, Digital Chart of the World, CGIAR SRTM, GLC2000, CIESIN, WorldClim, and U.S. National Imagery and Mapping Agency's (NIMA) .\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":111,"value":"$33","pinned":false,"hidden":false,"mode":"ojs"},{"id":108,"value":"md`\n---\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":4,"value":"md`\n### Appendix\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":5,"value":"md`\n#### JavaScript Visualization Code\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":7,"value":"path = d3.geoPath(projection)","pinned":false,"hidden":false,"mode":"ojs"},{"id":9,"value":"width = 975","pinned":false,"hidden":false,"mode":"ojs"},{"id":11,"value":"height = Math.ceil(path.bounds(hdx_admin0)[1][1])","pinned":false,"hidden":false,"mode":"ojs"},{"id":15,"value":"projection = d3.geoIdentity()\n .reflectY(true)\n .fitWidth(width, hdx_admin0)","pinned":false,"hidden":false,"mode":"ojs"},{"id":13,"value":"d3 = require(\"d3\")","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W34","stdlib":"1","titling":"auto"}