![]() “Searching All the Web’s Spatial Data”, presented by Stephen McDonald, GIS Fellow at the CGA. More information about this event and registration: ĬGA’s Monthly GIS Presentations – come join the discussion This workshop will feature several real-world examples of how CartoDB is being used in government, industry, and education, and will include hands-on demonstrations. The dynamic interface allows users to create maps that update instantly to reflect data changes, making it ideal for planning, coordinating, and communicating data at the city government level. More information about technical training workshops and registrations can be found here : ĬartoDB is a simple to use mapping tool with powerful applications. GIS Basics with ArcGIS - Cambridge, by Sumeeta Srinivasan, 1:00 – 3:00pm, January 30 th, 2015.Geo Humanities with Omeka Neatline, by Paul Cote, 4:00 – 6:00pm, January 29 th, 2015.Upcoming GIS Technical Training WorkshopsĬGA offers several non-credit technical training workshops related to GIS (Free to Harvard affiliates but registration is required). Similarly, urban populations in this study are measured differently from national statistical agencies, which means national urban population figures here differ from those reported by the United Nations World Urbanization Prospects, which uses national definitions, and consequently on the World Bank Open Data website, which draws from UN statistics.Entries that combine data on ‘urban areas’, as defined here, with data on ‘cities’ or ‘metropolitan areas’ defined differently, without adjustment, may be considered misleading and judged accordingly. As explained in the readme.txt file, urban areas can be grouped using the ‘WB_agglom’ field in the administrative boundary shapefiles. ‘Urban areas’ as defined in these data are not delimited by administrative boundaries.Land use/ land cover maps for Surabaya (Indonesia), Ho Chi Minh City and Hai Phong (Vietnam), Cebu (Philippines), and Ulaanbaatar (Mongolia), for c2000 and c2012, using GMES (European Urban Atlas) land cover classifications (.shp) Important notes.Tables showing urban land and urban population by country and by individual urban area (.xls).įive cities in detail (select dataset ‘PUMA Land Use’):.Raster maps showing built-up areas for c2000 and c2010, downloadable by country (.tif).Shapefiles of administrative boundaries, showing built-up areas and population mapped to those areas in c2000 and c2010, downloadable by country (.shp).The data also include maps for five cities with more detailed land use classifications, using ~10m resolution satellite imagery.ĭata can be downloaded at /downloads.Įast Asia and Pacific region-wide data (select dataset ‘Urban Expansion 2000-2010): The dataset, which includes data on all 869 urban areas in the region with populations over 100,000, is a treasure trove of changing patterns of urbanization in recent years. The spare point cloud looks really good, although some of the camera positions are obviously wrong - it was an RTK survey so shouldn’t be seeing that much difference between computed and initial positions.The World Bank’s unique database is a complete map of built-up areas across the East Asia region (stretching from Mongolia to the Pacific Islands) for the years 20, combined with a population distribution map. ![]() Being in the middle, there are no GCPs to apply, and I’m getting exactly the same error as described above. TIF files, I’m only running 890, so it runs much quicker. I’m currently testing on a subset of images from the middle of one of the survey sites - the whole dataset is 10,000. I manually checked all the EXIF data for one of the new photos that isn’t working vs one of the photos for a survey that did work - the drones were running the same firmware version, so no easy wins there. I’m running this in GDA2020, whereas those previous surveys were in WGS84…not sure if that would affect anything? pdf, but those same settings aren’t working for me. p4d and project files, so all I have to compare is the report. We’ve previously processed a few P4MS flights successfully in Pix4dmapper. I should note that the densification fails the same way either time, but sometimes on the NIR, others on the RE. I’ve tried multiple different surveys of various sizes, both with and without GCPs and I get the same error, so I don’t think the GCP process is causing the problem.
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