deck.gl gallary: https://deck.gl/gallery/
on using H3 Hexagons: https://carto.com/blog/hexagons-for-location-intelligence/
(visualizing changesets in the last 7 days) http://resultmaps.neis-one.org/osm-changesets?comment=hms_gw#12/-17.8389/31.0759 http://neis-one.org/
(looking at history and changesets of features) On OpenStreetMap.org use the query button to view node history and changesets. This can be useful in telling what source was used during tracing.
http://osmlab.github.io/show-me-the-way/
Using osm2pgrouting https://www.hotosm.org/updates/using-open-source-tools-to-solve-routing-issues-for-solid-waste-collection-in-dar-es-salaam/ This was an interesting concept, used to improve OSM data in the US from the Tiger import What if we introduced a similiar concept but using high-res imagery to suggest areas to fix?
It would be nice if it was calculated by nodes instead of changesets, and if it could have an option to go back further than 6 months
Provides user stats
Overpass Turbo http://overpass-turbo.eu/
query: IDP camps in Kathmandu (http://overpass-turbo.eu/s/9bw)
/*
idp camps kathmandu
*/
[out:xml][timeout:120];
way"idp:""spontaneous_camp";
// print results
out meta;
; out meta;
query: Severely damaged Areas
http://overpass-turbo.eu/s/afO
/* Severely damaged areas kathmandu */ [out:xml][timeout:120]; waylanduse="brownfield"; // print results out meta;
; out meta;
https://gist.github.com/aawiseman/ec55286c86d4612bc393
Information on OSM tags: https://taginfo.openstreetmap.org/
now built into iD editor (use 'Ctrl+Shift+B' shortcut to bring up panel)(openstreetmap/iD#2492)
These previous services are down:
Bing Imagery Analyzer (Let's you browse dates of Bing Imagery) http://mvexel.dev.openstreetmap.org/bing/
Ant Bing Imagery Analyzer (Let's you see which areas have high-res Imagery) http://ant.dev.openstreetmap.org/bingimageanalyzer/
resources how to export OpenStreetMap data
Mapzen Metro Extracts (City-sized parts of the OpenStreetMap database, served up weekly.) https://mapzen.com/metro-extracts/ https://mapzen.com/blog/metro-extracts-101
GeoFabrik (OSM extractions) http://www.geofabrik.de/
Downloading OSM coastlines and generalized data: http://openstreetmapdata.com/
Blake Girardot's JOSM training video https://www.youtube.com/watch?v=GOfTJ3QDQB4&feature=youtu.be
Jim McAndrew's Leaflet tutorial http://loc8.us/maptime2015/#/
https://github.com/Project-OSRM/osrm-backend
http://www.mapnificent.net/washington/
Route planning: http://cycle.travel/map http://www.opencyclemap.org/
Mapzen Vector Tile Services https://github.com/mapzen/vector-datasource/wiki/Mapzen-Vector-Tile-Service
http://mike.teczno.com/notes/gl-solar-webgl-openstreetmap.html
http://www.mkgeomatics.com/wordpress/?p=389
http://mike.teczno.com/notes/postgreslessness-mapnik-vectiles.html
https://www.mapbox.com/mapbox-gl/ https://www.mapbox.com/mapbox-gl-style-spec/
Creation of VectorTiles: tilelive, tessera, mapbox studio
generating vector tiles live from PostGIS: chubbs: https://github.com/spatialdev/PGRestAPI
displaying vector tiles in leaflet: https://github.com/SpatialServer/Leaflet.MapboxVectorTile
Mapbox vector tiles implementations: https://github.com/mapbox/vector-tile-spec/wiki/Implementations
OSM 2 vector tiles: https://github.com/systemed/tilemaker
Styling vector tiles: -Mapbox Studio -what else?
Good question on self-hosting vector tiles: http://gis.stackexchange.com/questions/125037/self-hosting-mapbox-vector-tiles
hosting vector tiles: https://github.com/mapbox/tilelive.js
suggestions and feedback for a variety of geospatial applications
-Being able to download the shapefile of the imagery tile boundaries and extent before having to upload the whole strip to my library and download it. (fixed!!)
-Being able to view and download imagery with false-color bands.
-Being able to upload or draw my own bounding box and search of imagery that is within it
-add measurement tool
-be able to drag and drop files to upload -be able to upload multiple files in a batch
-draw complex polygons
-add measurement tool
-needs smart search (look into http://wiki.openstreetmap.org/wiki/Nominatim and TagInfo)
Google Machine Learning: https://www.engadget.com/2016/09/29/google-opens-up-its-machine-learning-tricks-to-all/
SpaceNet on AWS: https://aws.amazon.com/public-data-sets/spacenet/
SpaceNet is a corpus of commercial satellite imagery and labeled training data being made available at no cost to the public
Theoretical geography, William Bunge 1928- 1966 Available at George Mason University Fenwick Stacks (G70.B8 T5 )
-good summary by Goodchild (http://www.geog.ucsb.edu/~good/papers/450.pdf)
https://www.techchange.org/online-courses/mhealth-mobile-phones-for-public-health/
https://www.techchange.org/online-courses/mobiles-for-international-development/
-DGIWG -OpenStreetMap -WorldWide Geography Working group
http://jaryard.com/projects/osm4j/
-HOOTENANNY: WEB ENABELED GEOSPATIAL VECTOR-DATA CONFLATION AND MAP GENERATION
Programmer's Guide http://pyqgis.org/book/contents/
OpenTripPlanner: http://www.opentripplanner.org
-how can I search for objects in a place, or within the user's view? Ex. 'indoor pools in Washington D.C'
-http://trajectorymagazine.com/got-geoint/item/1647-nga-launches-map-of-the-world.html -https://www1.nga.mil/MediaRoom/LeadingStories/Pages/WashingtonMapSociety.aspx -http://www.afcea.org/content/?q=node/13903 -http://www.nextgov.com/cloud-computing/2014/12/first-intelligence-agency-host-app-amazons-c2s-cloud/100851/
NYC Historical Maps: http://spacetime.nypl.org/
NYPL Map Warper: http://dev.maps.nypl.org/warper/ http://mapwarper.net/
got ideas from reading: Crowdsourcing and Its Application to Transportation Data Collection and Management Aditi Misra, Aaron Gooze, Kari Watkins, Mariam Asad, and Christopher A. Le Dantec
Look into Tirimisu Transit app (http://www.tiramisutransit.com/t/livemap) and OneBusAway (http://onebusaway.org/) app and see if a app that employs similiar ideas could work for DC
NextBus predictions inaccurate: http://www.sfexaminer.com/nextbus-muni-predictions-inaccurate-during-commute-hours-almost-half-the-time-study-says/?utm_campaign=CartoDB&utm_content=25048299&utm_medium=social&utm_source=twitter
http://www.codeforamerica.org/blog/2011/02/23/boston-citizens-connected/ http://www.citysdk.eu/citysdk-challenge-build-best-cross-city-smart-participation-app-win-3000-euros/ http://www.chicagoworksapp.com/ http://www.open311.org/ https://github.com/codeforamerica/open311dashboard
actually, OneBusAway is already open to partnering with Tirimisu and a beta has already been launched in Washington D.C. https://github.com/OneBusAway/onebusaway/wiki/OneBusAway-Deployments http://mobilitylab.org/2013/10/25/onebusaway-demo-app-offers-best-transit-info-yet-for-dc-users/
http://mousebird.github.io/WhirlyGlobe/
I'm trying to remember an online mapping app. You could upload maps and georeference them online. There was also a time component to it as well. I think it was part of a thesis or dissertation. It is not OldMaps Online, Map Warp, or MetaCarta's MapRectifier.
http://timemapper.okfnlabs.org/
Field Papers
OpenMapKit
Survey123
https://docs.google.com/presentation/d/1j-Q-_GZNbLqhek52ZHmb8ZrowT8YsqYD5C68MBd0Gnk/edit#slide=id.gc347858b8_0_102
ODK
First Mile Geo https://www.firstmilegeo.com/
OpenAddresses https://openaddresses.io/
OpenTraffic http://opentraffic.io/
OpenTripPlanner http://www.opentripplanner.org/
National Geospatial Advisory Committee, National Address Database: http://www.fgdc.gov/ngac/meetings/december-2012/NGAC%20National%20Address%20Database%20Paper.pdf
GFTS: http://blog.openplans.org/2012/08/the-openplans-guide-to-gtfs-data/
Koordinates https://koordinates.com
http://gracegao.ae.illinois.edu/publications.html
Samuel Lee Toepke, R. Scott Starsman Population Distribution Estimation of an Urban Area Using Crowd Sourced Data for Disaster Response http://iscram2015.uia.no/?p=1978
Penn State http://www.geovista.psu.edu/
SMART HDMS @SDSU http://vision.sdsu.edu/hdma/smart
Recent Developments and Future Trends in Volunteered Geographic Information Research: The Case of OpenStreetMap Pascal Neis 1,* and Dennis Zielstra 2
Assessing the Completeness of Bicycle Trail and Lane Features in OpenStreetMap for the United States Hartwig H. Hochmair1*, Dennis Zielstra1 , Pascal Neis2
Assessing the Effect of Data Imports on the Completeness of OpenStreetMap – A United States Case Study Dennis Zielstra,* Hartwig H. Hochmair* and Pascal Neis†
The Street Network Evolution of Crowdsourced Maps: OpenStreetMap in Germany 2007–2011 Pascal Neis 1,*, Dennis Zielstra 2 and Alexander Zipf 1
Accessing the history of objects in OpenStreetMap https://scholar.google.com/citations?view_op=view_citation&hl=en&user=wVs_9twAAAAJ&citation_for_view=wVs_9twAAAAJ:Y0pCki6q_DkC Peter Mooney, Padraig Corcoran
The Annotation Process in OpenStreetMap http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9671.2012.01306.x/abstract Peter Mooney, Padraig Corcoran
Geo-report: https://github.com/crowdcover/geo-report
ESRI Story Maps: http://storymaps.arcgis.com/en/
Rohingya Story from UNHCR: https://unhcr.maps.arcgis.com/apps/Cascade/index.html?appid=5fdca0f47f1a46498002f39894fcd26f
Odessey.js: http://blog.cartodb.com/odyssey-js-new-open-source-tool-to-weave-interactive/
http://usgif.org/news/630-usgif-publishes-geoint-essential-body-of-knowledge
##Drones
good exerpts from "Updating digital elevation models via change detection and fusion of human and remote sensor data in urban environments" p.156
Quality of OSM mainly depends on the contributer, both on their accuracy and their experience. In general, the more mappers that are active in an areas the better the quality is supposed to be. Moreover some analysis resulted in higher coverage of data in urban areas. However, it was showed that further factors such as income can also influence the results. Therefore, it is not possible to make a universal statemetn about data covergage regarding urban or rural areas. Furthermore a study had a closer look at the spatio-temporal develpment of OSM contributions. For the specific situation of the city of Heidelberg, their prediction using cellular automata revealed thap-win-3000-ep-win-3000-ep-win-3000-ep-win-3000-ep-win-3000-ep-win-3000-ep-win-3000-ep-win-3000-ep-win-3000-ep-win-3000-ep-win-3000-ep-win-3000-ep-win-3000-ep-win-3000-ep-win-3000-ep-win-3000-ep-win-3000-ep-win-3000-ep-win-3000-ep-win-3000-ep-win-3000-ep-win-3000-ep-win-3000-ep-win-3000-ep-win-3000-et the density of contributions is linked to a certain land use type.
http://k1z.blog.uni-heidelberg.de/2015/08/10/matching-gps-trajectories-to-street-segments-an-open-source-implementation/
"Updating digital elevation models via change detection and fusion of human and remote sensor data in urban environments"
Natural Earth is a public domain map dataset available at 1:10m, 1:50m, and 1:110 million scales. Featuring tightly integrated vector and raster data
http://www.exelisvis.com/Home/NewsUpdates/TabId/170/ArtMID/735/ArticleID/13592/Digital-Number-Radiance-and-Reflectance.aspx
The Crayfish plugin aspires to be a complete set of pre- and post-processing tools for hydraulic modellers using TUFLOW, BASEMENT, ISIS 2D, Hydro_AS 2D, AnuGA and other modelling packages.
https://www.youtube.com/watch?v=ztXQiy0iStI#t=17.500689
Mapillary Guide in OSM from MapBox: https://www.mapbox.com/blog/get-started-mapillary/
POSM OSM Replay Tool post: https://hi.stamen.com/merging-offline-edits-with-the-posm-replay-tool-2f39a4410d2a#.gaajvzett
For Printing Maps: http://maperitive.net/
For organizing projects: https://help.mapillary.com/hc/en-us/articles/360023629331-Capture-Projects-getting-started
MapHubs: https://maphubs.com/
Tool for Sharing and Finding Maps
https://github.com/JackDougherty/leaflet-storymap
Hypermap
hh.worldmap.harvard.edu
hypersearch.cga.terranodo.io
http://drm.moha.gov.np/ (nepal geonode)
URISA is the founding member of the GIS Certification Institute (https://www.gisci.org/) and GIS Corps http://www.urisa.org/
http://landscape.satsummit.io/
http://streams-dev.it.tufts.edu/#/dashboard
https://medium.com/planet-stories/a-gentle-introduction-to-gdal-part-1-a3253eb96082
mapping lists https://www.zeemaps.com/
https://wiki.openstreetmap.org/wiki/Microsoft_Building_Footprint_Data
https://lists.openstreetmap.org/pipermail/imports/2017-March/004840.html https://wiki.openstreetmap.org/wiki/AI-Assisted_Road_Tracing
http://data.opengeoportal.org/ They also use SOLR and spatial search
https://developmentseed.org/blog/2016/12/15/dirty-reprojectors/
Case Study publication (Sterling Quinn) http://www.tandfonline.com.mutex.gmu.edu/doi/abs/10.1080/00330124.2015.1065547 https://www.geovista.psu.edu/phillyfood/
http://land.copernicus.eu/pan-european/corine-land-cover
http://pgis-tk-en.cta.int/videos/index.html
http://www.iapad.org/wp-content/uploads/2015/07/p3dm_english_web.pdf
Raster Foundry is an earth observation analysis tool to find, combine and analyze earth imagery at any scale, and share it on the web. https://www.rasterfoundry.com/
We have been stretching the possibilities of geospatial technology to enable our clients to answer complex questions in a wide range of domains: urban ecosystems, water, infrastructure planning, economic development, public transit, elections, public safety, energy, and cultural resources management, to name a few. https://www.azavea.com/work/
collecting location data on mobile
https://blog.insightdatascience.com/deep-learning-for-disaster-recovery-45c8cd174d7a
http://www.openstreetmap.org/user/SomeoneElse/diary/43041
https://boundingbox.klokantech.com/
https://uber.github.io/kepler.gl/#/ http://vis.academy/#/
https://github.com/szilard/benchm-databases
https://blog.mapbox.com/a-dive-into-spatial-search-algorithms-ebd0c5e39d2a
https://r-shekhar.github.io/posts/spatial-joins-geopandas-dask.html
https://medium.com/@jeffandersen/building-a-node-js-rest-api-with-express-46b0901f29b6
uses hyperspace by pixelarity: https://pixelarity.com/hyperspace
https://maposmatic.osm-baustelle.de/new/
https://osmcha.mapbox.com/ -Osmose, KeepRight
http://vroom-project.org/ https://www.optaplanner.org/
https://www.nytimes.com/interactive/2014/07/03/world/middleeast/syria-iraq-isis-rogue-state-along-two-rivers.html http://dwtkns.com/portfolio/
https://medium.com/@kepta/when-openstreetmap-met-mapbox-gl-idly-gl-c26ecfdad93c
**Idea what if there was a tag-based pivot table you could create online? (ex. compare road classifications to widths and see if there is any correlation)
In order to expose datasets, GeoNode uses Catalog Service for the Web (CSW), ESRI ArcGIS Online uses DCAT (https://www.w3.org/TR/vocab-dcat/). GeoPlatform can harvest from both (https://doc.arcgis.com/en/hub/data/federating-with-ckan.htm).
Geosimulation (http://www.geosimulation.org/)
Geosimulation is a catch-all phrase that can be used to represent a new wave of spatial simulation modeling that has come to the fore in very recent years.
OSM editor for iOS https://apps.apple.com/us/app/go-map/id592990211
https://sparkgeo.com/blog/vector-tile-server-using-postgis/
https://medium.com/devseed/make-sense-of-urban-change-fabb9ff229d7
- Kartoza
- opengis.ch
- source pole
https://www.framer.com/development/
https://www.google.com/earth/studio/
Here are some use cases that OSM Express fits well.
- You want an offline copy of OpenStreetMap, which can be updated every day, hour or minute from the main openstreetmap.org database, instead of redownloading the entire planet.
- You want to quickly access all OSM objects in a geographical region, such as as neighborhood, city or small country. For this use, https://protomaps.com/extracts/
- You want to quickly look up OSM objects by ID, such as getting the height and name tags for a given way that represents a building, and construct geometries for ways and relations.
- You want to embed a database that does any of the above, such as in a web application that returns OSM objects as GeoJSON.
https://geosimcities.com/ https://www.crunchbase.com/organization/geosim
https://info.crunchydata.com/blog/dynamic-vector-tiles-from-postgis
https://courses.spatialthoughts.com/pyqgis-in-a-day.html#print-layouts
https://github.com/kuanb/peartree peartree is a library for converting GTFS feed schedules into a representative directed network graph. The tool uses Partridge to convert the target operator schedule data into Pandas dataframes and then NetworkX to hold the manipulated schedule data as a directed multigraph.
https://github.com/remix/partridge A fast, forgiving GTFS reader built on pandas DataFrames
Geogig
https://drive.google.com/file/d/1Sb-dOUjeP1Ljqz4ra931D3Pe8B5C3pde/view
Admin boundaries for the world, by William and Mary https://www.wm.edu/as/data-science/researchlabs/geolab/get_data/geoboundaries/index.php
https://road-planning.devseed.com/
https://registry.opendata.aws/wb-light-every-night/ https://worldbank.github.io/OpenNightLights/tutorials/mod5_4_comparing_cities.html
https://ui.adsabs.harvard.edu/abs/2018AGUFMIN44A..06M/abstract
https://github.com/conveyal/r5
ESRI 2020 Land Cover: https://www.arcgis.com/home/item.html?id=d6642f8a4f6d4685a24ae2dc0c73d4ac
scikit-mobility is a library for human mobility analysis in Python: https://github.com/scikit-mobility/scikit-mobility
Rohingya Refugee Emergency at a Glance: The influx to Bangladesh is one of the largest and fastest-growing refugee crises in decades https://unhcr.maps.arcgis.com/apps/Cascade/index.html?appid=5fdca0f47f1a46498002f39894fcd26f America is more diverse than ever — but still segregated: https://www.washingtonpost.com/graphics/2018/national/segregation-us-cities/ Mapping America’s wicked weather and deadly disasters: https://www.washingtonpost.com/graphics/2019/national/mapping-disasters/ BORDERLINE: Navigating the invisible boundary and physical barriers that define the U.S.-Mexico border https://www.washingtonpost.com/graphics/2018/national/us-mexico-border-flyover/ Good examples from the Washington Post here: https://www.washingtonpost.com/graphics/2018/ns/best-graphics/ -you can also click on the different Graphics reporters
https://pygis.io/docs/e_raster_resample.html
-PyGIS: https://github.com/mmann1123/pyGIS
open geospatial rasters as chunked Dask arrays
https://s2maps.eu/ Sentinel imagery service cloudless
https://disaster.ninja/ -population dataset to help humanitarian mappers
https://www.gdacs.org/ -GDACS is a cooperation framework between the United Nations, the European Commission and disaster managers worldwide to improve alerts, information exchange and coordination in the first phase after major sudden-onset disasters.