Summary notes and highlights from the conference
Conference August 14 – 18, 2017 Boston, MA
Conference by number
56 workshops – two days.
I attended 4 separate workshops for two days and attended 24 talk sessions for three days. Below are my summary notes. Highlight of the conference were keynotes from Paul Ramsey and Joe Cheng
- Browser-based Geoprocessing with Turf.js and leaflet
- turf.js client-side geoprocessing using turf.js library and integrating with leaflet.js library to build webmap browser based simple geoprocessing application.
- Classification of remote sensing images with the Orfeo ToolBox and QGIS
- Orfeo is image processing application that can operate as standalone desktop application or use within QGIS desktop
- From WebODM to QGIS
- Open source Sfm software with web interface based on OpenCV algorithem. Software can take images taken from drone and process to develop cloud points and orthomoasic photos to 3D model.
- Processing Lidar and UAV point cloud in GRASS GIS
- Exploring capabilities of GRASS GIS 7.2 lidar point cloud data processing.
- Talked about using various open source to build tool and applications
- using AuthO, turf.js Cartoserver, mapbox-gl, React, Digital Ocean.
- Lesson learned – use existing tools (no customized design/development) bootstrap, eliminate dependencies of large software
- build modular (example of Jane maps, name after Jane Jacobs)
Why your map sucks and you don’t even know it – Will Cadell, Sparkgeo.com
- Map analytic company that analyzed 15 million user session.
- Results: 25% of users don’t touch the map, once it’s loaded, user doesn’t move around
- Double loaded (multiple times) caused by bad coding
- 10% of activities happens at very first 1% of the duration
- Need to tell the “INTENT” of the story very quickly
- Most users do not click to explore the map but pan continously
Let them expire! – One company’s experience with fewer proprietary software licenses – Paul Wickman GIS technology Director RESPEC
- Using QGIS to them was NOT alternative to Arc but other option
- Open Source option is not just free but means value
- “Price is what you pay, Value is what you get”
- Reasons for migrations
- Per user scale model won’t work for current ESRI licensing model
- It’s about business with value and felt that ArcGIS value has dimished in value
- Look for value not ideology and need to thought out the plan. “I don’t need the drill, just a hole”
An Introduction to containerizing geospatial apps with Docker – James Milner, 3D Repo
- Docker container is encapulated environment which runs application.https://docs.docker.com/get-started/
- Docker eliminate “It works FINE in my machine but NOT yours” issue. Get rid of dependency issue.
- Docker Container vs VM (virtual machine)
- VM isolates everything (no OS access) but Docker container use native OS.
- Docker container means running docker images.
- By not having to load OS separately (not like VM), you don’t lose efficiency.
- One can use docker image to load Geoserver + Postgis i.e. from Docker Hub https://hub.docker.com/r/crcsi/geoserver-postgis/
Offline First Mapping – Calvin Metcalf, AppGeo
- Using Web Service Worker, this can intercept http request and can save the map tile locally.
- It is browser based script that runs in the background, separate from a web page
- Service workers can periodic background sync & push notifications that normally require native application but can do them through the browser.
- Service workers currently only support Chrome and Firefox browsers.
- Here is a good introductory implementation of this technology in blog writeup
Advanced geospatial technologies: The new powerful GRASS GIS 7.2 release – Helena Mitasova, NC State University.
- Not your old GRSS (Geographic Resources Analysis Support System) from Army Corps of Engineering days, Fascinating story of GRASS GIS told by William Shatner back in 1987.
- Lot of new features and capabilities including raster/vector data analysis, cartographic tools, image processing, advance LIDAR processing tools and many more with latest version of GRASS GIS.
R-Studio: Coding as first resort – Joe Cheng (CTO of RStudio)
- Most folks use coding as last resort after using GUI but speaker showed why it should be other way around.
- GUI – developed design by developer/designer
- CLI – task directed by user themselves
- Use code to extend functionality of existing such as QGIS to repeat and to scale.
- Main benefit of using code
- Highly interactive ( inform, return results after each line of code)
- Fast iteration
- R – John Chamber originator is to give user ability to interact and explore data. This programming language is heavily based on statistics and visualization.
- R Studio contains many tools, map + text + graphic/table + narrative to compose data to tell story.
- Shiny – can generate fully interactive web map using R studio.
- R Markdown – framework to crate html, report/PDF and dashboard.
DIY Mapping with drones and open source in a humanitarian context – Dan Joseph, American Red Cross
- Many reasons for DIY drone instead of commercial, off-the-shelf product.
- Fix your own machine out in the field
- Ability to access parts locally
- Lower cost
- Workflow as following
LiveDroneMap – an Automatic Real-time UAV mapping solution – Janwoo Cheon, Seoul University, South Korea.
- Real-time drone imagery data being captured and process in real-time data to get result back instantly.
- Live data processing to get instant on-the ground event evaluation without long-lag data processing time.
Data Driven Style (DDS) for fast GL maps – Molly Lloyd, Mapbox
- Using OpenGL (open graphic library) and WebGL, one can style using JSON file to stylize map features.
- Mapbox using these two technologies to use in their Mapbox GL-JS as styling using JSON data file for their vector tile styling web map.
Mapbox GL: How vector maps work – Vladimir Agafonkin, Mapbox
- Original creator of Leaflet talked about inner workings of vector tile.
- He said that the new era of cartography is here.
- Raster tile era lasted about 30 years which talks to server to get the information
- Vector map era is here that leverages client side, using web browser to display web map.
- Currently there are 94.8% coverage of WebGL/OpenGL in US and 91.5% for the world.
- OpenGL renders triangle (Earcut) to display various features
Migrating to Vector Tiles -Lizzi Silvinski, NBT Solutions.
- Talked about integrating vector tile into existing raster tile system.
- Goals for the project
- Dynmaic styling
- GIS functionality
- Editing tools
- Proof-of-Concept in github here.
- Using leaftlet draw to edit in vectortile
- Wrote own node.js to serve tiles.
State of QGIS – Kurt Menke, Larry Shaffer
- Various features coming up QGIS 3.0
- Major feature of having meta data catalog
- Improve digitizing
- Composer is completely rewritten and single layout with multiple pages
- Summary from blog post
Vector tiles from OpenStreetMap with OpenMapTiles and TileServer GL – Petr Pridal, Klokan Technologies GmbH
- Provide various vector tile format for numerous data products and web map serving options.
- OpenStreetMap data in vector tile format available by various region
- Whole planet data vector ~ 54 GB
- West Coast ~ 1.9 GB
- Washington State ~ 205 MB
- Also can extract customized area
- Hillshade and contour lines are also available for download
- Workflow is to download OSM vector tile and serve using either OpenMapTIles Mapserver of docker image or use Tileserver-GL locally
- Downloadable cloudless satellite photo – 250 GB, 20m pixel resolution with zoom 13 level.
Using open-source tools and high-resolution geospatial data to estimate landscapes’ visual attributes – Helena Mitasova, Anna Petrasova, NC State University.
- Using Geomorphons – model based using machine/computer vision to interpret topology.
Coupling a geospatial Tangible User Interface (TUI) and an Immersive Virtual Environment (IVE) using open-source geospatial and 3D modeling tools – Helena Mitasova, Anna Petrasova, NC State University.
- System of software (GRASS GIS) and various hardware to do the analysis of natural environment planning and analysis.
- Background information here which was developed in NC State University OSGeo Research and Education laboratory.
- Great tools/use case to apply in environmental analysis and modeling.