Schedule

This workshop is intended to provide hands-on experience with developing and deploying a full stack geospatial web application from the ground up on Amazon Web Services. The goals of the workshop are to demonstrate how AWS can be used as a platform for rapid development and deployment of scalable and robust web applications, using open source technologies including PostGIS, Geoserver and OpenLayers.

We will walk through an overview of architecting and deploying PostGIS and Geoserver in AWS and demonstrate the powerful automation features of AWS CloudFormation, before focussing on developing a ReactJS/OpenLayers interactive web mapping application that uses Mapbox Vector Tiles from Geoserver, together with styles created in the web based visual style editor Maputnik.  

Topics to be covered:

- Introduction and overview of core AWS services
- Overview of setting up PostGIS and Geoserver on AWS
- Automating AWS infrastructure deployment with CloudFormation
- Loading and processing data with QGIS and PostGIS
- Publishing services in Geoserver from data in PostGIS
- Publishing vector tiles from Geoserver
- Styling vector tile services in Maputnik
- Developing a ReactJS and OpenLayers web application
- Dynamic styling of vector tile layers in OpenLayers using Mapbox GL styles
- Building and deploying a web application to AWS S3

Attendees will learn how to create a QGIS Python Plugin by creating one.

Topics include:

- Configuring your Integrated Development Environment (IDE) with PyCharm
- Creating a template plugin with Plugin Builder
- Creating a Graphical User Interface (GUI) with QtCreator
- Interactive programming with signals and events
- Debugging with Plugin Reloader and using a remote debugger

Cloud service providers and the ubiquity of open source software like Postgresql, PostGIS and QGIS have made it easier than ever to collect and store spatial data. Making that data publically available has clear advantages but you might not want to hand out direct access to your database.

One alternative is to make your spatial data available via an API. I'd like to encourage this approach as a way to make spatial data publically available quickly and easily, whether its your own private data, data from your organisation, or data you collaborate with other people to produce.

This workshop will walk through the process of creating an API serving GeoJSON, CSV, and (time permitting) GeoRSS data using the Python Flask library. The topics that will be covered in the workshop will be:

- Modelling spatially enabled tables and serialisation using SQLAlchemy, GeoAlchemy2 and Marshmallow
- Creating a basic REST API to access your data with Flask
- Adding authorization to the API with Flask-Security
- Extending the API - pagination and additional output format
- Deploying the API on AWS Lambda with Zappa

You are of course encouraged to use your own data, but for the purpose of deployment a database connection will be supplied.

This workshop builds on new opportunities provided by the increasing availability of free satellite imagery, digital elevation data, and open source spatial analysis software through the use of SAGA-GIS for sophisticated natural resource mapping and modeling. The ease of installation and immediate access to advanced raster tools for remote sensing, terrain, and hydrology analysis makes SAGA GIS a powerful addition to your FOSS toolkit.

The aim of this training is to provide a basic overview functions within SAGA-GIS software that enable applications in two areas key to evidence-based natural resource management; (1) satellite-based mapping and monitoring and (2) terrain analysis and hydrological modeling. Training will be based on real-world examples of simple techniques for practical management application and cover:

- Accessing and visualising Landsat, Sentinel-2 and elevation data

- 3D Landscape visualisation

- Basic terrain modelling and hydrological analysis with free elevation data

- Applications for forest fire and mine monitoring.

The workshop will be supported by, and provide an introduction to, comprehensive online training material (sagatutorials.wordpress.com). The workshop convenor has led the development of integrated digital training content in English and Indonesian that is now being used around the world as the go-to reference for SAGA-GIS. This material is now being extended into Latin America with the development of Spanish language content.

Why SAGA?

SAGA-GIS is developed by users for users and is constantly updated with cutting-edge geospatial research. Currently SAGA offers more than 700 geo-scientific modules supporting a range of scientific questions and NRM needs. SAGA GIS has the following key features:

- Simple, onestep, processes for sophisticated hydrological and terrain modelling

- Simple process for satellite data visualisation.

- Advanced image classification techniques

- Seamless integration of satellite image and terrain analysis tools.

- A compact package that does not require installation and is thus is easy to use and share

pgRouting adds routing functionality to PostGIS. This introductory workshop will show you how. It gives a practical example of how to use pgRouting with OpenStreetMap data. It explains the steps to prepare the data, make routing queries, assign costs, write a custom ‘plpgsql’ function and use OpenLayers to show your route in a web-mapping application.

Navigation for road networks requires complex routing algorithms that support turn restrictions and even time-dependent attributes. pgRouting is an extendable open-source library that provides a variety of tools for shortest path search as extension of PostgreSQL and PostGIS. The workshop will explain about shortest path search with pgRouting in real road networks and how the data structure is important to get faster results. Also you will learn about difficulties and limitations of pgRouting.

We listened to student feedback of the last years and want to guide you through the basic steps to build a simple browser application. Our goal is to make this as easy as possible, and show that it’s not difficult to integrate with various FOSS4G tools.

This is a hands-on, bring your device workshop where I teach participants with lessons and exercises on how to create maps with d3. The workshop showcases the essential features of d3 quickly for creating geospatial data visualizations, and the result is a  choropleth map that every participant creates on their own.

Mapping in the browser is a hot topic, and there are plenty of tools and ways to visualize data. The power of d3 is the interactivity and closeness to the data. Creating minimal looking maps with or without basemaps, but still with interactivity and the ability to zoom, creates nice looking maps.

The goal of the session is to provide the participants with the tools and the knowledge to create interactive choropleth maps from geojson and topojson files. Along the way, the base concepts of d3 are covered as well.

We are using the new tool from Mike Bostock (creator of d3) called Observable, which makes it very easy to create interactive notebooks with js. It is a great tool to learn how to create d3 charts and maps. Participants learn how to use the tool and where it differs from a traditional environment.

Learnings: When is d3 the right tool for creating a map, and the best approach to create a map with d3.

The topics include:

- Creating a simple map from both geojson and topojson
- Changing the projection of the map
- Adding interaction to the map
- Creating a tooltip
- Adding mouseover effect
- Creating a choropleth map
- Create a dot density map
- Learn how to use Observable

In this workshop, attendees will work on processing massive point clouds using an open source stack:

- PDAL (http://pdal.io)
- Potree (http://potree.org)
- Entwine and the EPT file format (http://entwine.io)
- Greyhound (http://greyhound.io)

Anyone working with LIDAR output (from various sources), photogrammetric products, high resolution hydrographic products or all of the above should find something relevant here.

This is intended to be a hands on workshop - attendees will get the greatest value from the workshop if they are comfortable with command line applications and ideally have some experience coding with Python. Familiarity with standard point cloud formats (eg LAS 1.4; PLY) and raster formats (eg GeoTIFF) will be assumed, although use of file formats will be explained during the workshop.

We will start with the basics - finding out about our data, knowing what it contains and where it is in space and time. Learners will be introduced to the PDAL pipeline concept - constructing repeatable processing pipelines to perform increasingly complex tasks. A sample agenda might look like:

- installing PDAL using Conda (or docker)
- reading, writing, format conversion, reprojection, adding missing metadata
- thinning and filtering
- ground classification
- mesh, vector, raster and statistical products from point clouds
- use of the entwine EPT format for visualisation and querying with the Greyhound point server

The Python bindings to PDAL will be used to construct more advanced tasks and do some basic visualisation.

Finally, the group will step through creating EPT formatted point clouds, and how to visualise their results in a web browser with the Potree viewer.

Deployment of point cloud processing stacks on public clouds will be discussed if time permits, with a step through the construction of a full data ingestion to delivery pipeline. Related technologies will also be discussed - postgres-pointcloud, and strategies for working with waveform data.