Accepted Sessions

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2.5D !== 3D

While 3D virtual globes and maps have been around for over 20 years, advances in JavaScript and WebGL have made them increasingly popular. Unfortunately, this has led to a rash of pseudo 3D maps, which are really just extruded 2D representations (AKA 2.5D) that give real 3D a bad name. So what's wrong with 2.5D and what makes 3D different? Based on our experience creating Cesium, I'll present the unique challenges 3D offers and the important problems it solves in visualization, augmented reality, autonomous vehicles, and more.

Experience level: 
Beginner

A GRASS GIS Study of Open Data 1-meter NED DEM Resampling: Comparing recently published 1-meter NED to 3DEP LiDAR-derived original product resolution DEMs.

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)

Experience level: 
Beginner

A STUDY ON NON-MERCATOR VECTOR TILING FOR AN EFFICIENT WEB MAPPING SOLUTION

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, steve.liang@ucalgary.ca)

 

KEY WORDS: Vector Tiling, Web Map, Mapnik, Map Projections, OpenLayers

Experience level: 
Intermediate
Track: 

Adding weather data to your geospatial applications using Open Source tools (sponsored by IBM)

Weather is something that affects everybody's daily life and is closely tied to the geographic location. In the session, you will learn how to integrate weather data from IBM Weather Company in your geospatial application using open source technologies such as Python, Spark and Mapbox GL JS that leverages IBM Watson data and AI platform. Weather Company provides most accurate weather forecast and is used by over 100 million users.

Experience level: 
Intermediate

Applying your Geo Skills to Data Science

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.

Experience level: 
Beginner

Automated Map Stacks with DevOps & Infrastructure as Code

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

Experience level: 
Beginner

Best Practice for Serving COG Imagery using MapServer in the Cloud (sponsored by AWS)

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.

Experience level: 
Intermediate

Beyond Pretty Pictures: Topographic Labels in 3D Maps of High Terrain

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.

Experience level: 
Advanced

Birth of the 3D Elevation Program: How a Map Factory became a Big Data Producer

For over 130 years, the US Geological Survey (USGS) has been the nation’s premier governmental map making organization. Gone are the days of producing maps from topographic surveys, artistic sketches and printing on copper plates. Today’s topographic maps are derived from high resolution digital data designed to be consumed on a variety platforms. The need for high resolution elevation data is vast and increasing demand has led to the creation of the 3D Elevation Program.

Experience level: 
Intermediate

Breaking the 4th Dimension: temporal data in PostgreSQL and PostGIS

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.

Experience level: 
Intermediate

Building an Image Processing Pipeline at Scale using Open Source (sponsored by Boundless)

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

Experience level: 
Intermediate

Building an OS business case for endusers.

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.

Experience level: 
Intermediate

Building Enterprise PostGIS Solutions for Public Policy Research

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.

Experience level: 
Intermediate

CityGML, 3D Tiles and Cesium - A Data Fusion Symphony

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.

Experience level: 
Intermediate

Cloud Optimized GeoTiffs: enabling efficient cloud workflows

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.

Experience level: 
Beginner

Continuously Delivered Scalable Geoservices on Kubernetes

Learn how to build highly scalable services and iterate on them rapidly by leveraging all Kubernetes and Jenkins have to offer. Kubernetes provides all the abstractions necessary to manage a database, scale stateless apps, run cron jobs and handle network ingress. At the same time it provides a powerful API that is ripe for integration with an automation tool like Jenkins. Learn how we have used Kubernetes to help a small team scale itself to many users and different microservices without sacrificing velocity.

Experience level: 
Intermediate

Contributing Every Day: How I Made a Career working with OSM

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.

Experience level: 
Beginner

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