The US Geological Survey (USGS) publishes 3D Elevation Program (3DEP) LiDAR data products as a free and open data resource through the National Map (TNM). Digital Elevation Models (DEM) from this program include both 1-meter resolution seamless National Elevation Dataset (DEM) data as well as the native Original Product Resolution (OPR) data which comprise the source material for the NED DEM data. This study uses open source software to explore potential differences between these two open datasets. Recently published (2017) DEM data from seven (7) different project sites across four (4)
A STUDY ON NON-MERCATOR VECTOR TILING FOR AN EFFICIENT WEB MAPPING SOLUTION
James Badger, Sara Saeedi, Steve Liang
Geomatics Engineering, University of Calgary, 2500 University Drive NW Calgary Canada T3A 2H4 – (jpbadger, ssaeedi, firstname.lastname@example.org)
KEY WORDS: Vector Tiling, Web Map, Mapnik, Map Projections, OpenLayers
Over the past few years, Data Scientist has been referred to as “The Sexiest Job of the 21st Century.” While we all struggle to define what a “Data Scientist” is, its obvious that is a growing career field that includes a great deal of Geo Analytics and Spatial Knowledge.
What this session will cover it how you can apply the knowledge you’ve learned as a Geo person to this help you getting a leg up in this field.
Maybe you've gotten a sweet Leaflet map or PostGIS database working on your laptop. You're feeling ready to share your web map or mapping service with others. Now how do you get that local sweetness into a production environment on the web? Maybe you've heard about Docker but don't see how to connect the pieces from a local PostGIS to deployed Docker container Or, maybe you are a system administrator trying to make your enterprise GIS as efficient, clear, and maintainable as possible. In this talk I will give a beginner-friendly introduction to rolling your own mapping stack using cont
The conference committee has organized a B2B workshop for organizations working in the (open) spatial industry. This interactive event will focus on collaborative action to develop your business as well as your market. You will have ample opportunity to learn from industry experts and extend your network.
We ask that those attending prepare and bring a short list of what you can offer to, and what you would like to receive from, the future business partners who you will meet at the event.
Recently there has been quite a bit of interest in Cloud Optimized GeoTIFFs (COG) that can be built using GDAL's raster utility programs gdal_translate and gdaladdo. This work has been supported by companies such as Planet and Digital Globe. COGs are GeoTIFFS that are internally structured to support efficient HTTP range-gets (partial file requests) such that they can be used in-situ in object stores such as Amazon S3. That means its unnecessary to initially download the GeoTIFFs to a local file system before use.
Three-dimensional maps of high terrain often lack in ability to represent a visual hierarchy of features, thus failing one of the basic tests of good cartography. This talk demonstrates how OSM data and VTS 3D Geospatial Software Stack can be used to enhance an interactive 3D map with informative and visually appealing topographic labels while avoiding the pitfalls of information overload and clutter.
It is “well known” that 80% of all data has a spatial component. What is less well known is that 100% of data contains a temporal component. For some data it may simply be the date that the data was released. For other, there may be a separate date/time for each separate row or feature. And yet still for others, such as vehicle tracks, there is time information that changes along a feature itself.
This talk will give an overview of some of the issues involved in dealing with temporal data with PostGIS and PostgreSQL.
Farmers Edge provides innovative agricultural practices that help growers boost crop production and improve sustainability. After recently acquiring an exclusive industry wide redistribution agreement for Planet data, Farmers turned to Boundless and Open Source GIS to build an image processing pipeline capable of handling the throughput of such a large collection. Come hear how Spark, GeoTrellis, GeoServer, Elastic and Azure were used to build a first class processing pipeline
Still many decision makers in both profit and non-profit organizations need to be convinced of the business value of open source. Building a comprehensive business case is the usual way to go. However, what are its ingredients and how to quantify these? And above all, which type of stakeholder is convinced by which specific argument? Therefore insight is required in how open source adoption translates into (in)direct monetary as well as intangible value to user organizations.
PostGIS is a valuable tool for practitioners of data-driven public policy research because it supports the development of powerful, low-cost, centralized, and secure GIS environments that can integrate seamlessly with an organization’s Postgres research databases. Chapin Hall at the University of Chicago is a research and policy center that has had recent success replacing a patchwork of desktop GIS solutions with a powerful new enterprise GIS server built on PostGIS.
As is the case with many modern technologies, there is not a single standard distributed computing framework that is used ubiquitously. While many function similarly, there are numerous options and in practice, there are generally performance tradeoffs that can make a certain framework better for a given task.
As CityGML's popularity has grown, more cities, governments, and organizations are looking towards CityGML as their primary city data format. While CityGML is a versatile and exhaustive data storage and exchange format for city infrastructure and landscapes, storing data in large XML files does not lend itself very well to high performance streaming and rendering.
The Cloud Optimized GeoTIFF (COG) is a key component to enabling cloud-native geospatial workflows. An important benefit is the ability for the client to stream just the portion of data that is needed through the use of HTTP GET byte-range requests. COGs enable faster reading, writing, and processing of data on the cloud without the need for local copies.
OpenStreetMap (OSM) is a collaborative project to create a free editable map of the world. It is being recognized as a useful dataset for training machine learning algorithms, deriving analytics on mapping behaviors, providing vital datasets to first responders to natural disasters, and a casual place for geonerds to continue to contribute to a living map of the world.
For most of my lifetime in the computing world, GIS, data crunching and web serving were three very separate worlds. If a web app wanted access to the analysis there was a long process of ETL, DB work, imports and exports, and bribing various network and storage people for the resources you needed. If you were in GIS you could rinse and repeat this cycle. With the rise of containers, orchestration, cheap computing and networking, and over 10 years of people tackling large problems at new scales we have finally come to a convergence.
There are many point cloud viewers, there are many photogrammetry viewers, there are many BIM and CAD viewers. 3D viewers tend to specialize in a single domain. While there is nothing wrong with this approach, there is a growing need to visualize disparate datasets together in shared space. This need continues to be a driver for 3D Tiles, an open specification for streaming massive heterogeneous 3D geospatial datasets.