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Wednesday, October 11 • 2:00pm - 3:40pm
Cartographic Software Development | Le développement de logiciels de cartographie

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The Lost Art of Cartography, an introduction to the ArcGIS Renderer for OpenStreetMap | L’art perdu de la cartographie – Une introduction à ArcGIS Renderer for OpenStreetMap
Presenter: Marco Boeringa
The result of 4 years of development and cartographic research in a personal project executed by the presenter, this session will introduce the ArcGIS Renderer for OpenStreetMap, a combined Python / ModelBuilder toolbox build on top of Esri's ArcGIS Editor for OpenStreetMap, that allows a sophisticated topographic rendering of OpenStreetMap data in ArcGIS. The toolbox highly automates both the required ETL and database schema creation, and at the same time automates the process of cartographic symbolization, including advanced layered rendering of highways and railways using overpasses based on the OSM "layer=x" key. The ArcGIS Renderer contains a total of 22 user tools implemented as Python scripts with a user friendly ModelBuilder tool interface. The presentation will focus both on the (cartographic) challenges encountered when using OSM data in ArcGIS, as well as touch on the technical aspects of the rendering workflow using this toolbox. 

Cartography in Adobe Creative Suite — MAPublisher Advancements | La cartographie dans Adobe Creative Suite – Les progrès de MAPublisher
Presenter: Nick Burchell
This presentation will provide an overview of advancements in MAPublisher in 2017. This includes MAPublisher 10, one of the most exciting releases of the cartographic product in recent years. I will cover how you can now update your Illustrator documents through a live connection to its origin data source, reduce time to import by cropping data to required extents and by trimming its attributes, and publish more advanced interactive maps to the web through significant updates to the Web Author Tool. I will demonstrate how you can leverage ArcGIS Online, PostGIS and other spatial databases to work with fully georeferenced and attribute rich data in Adobe's Creative Suite. I will show how you can work with vastly improved graphic styles, color palettes and scale bar libraries, as well as some of the other great features that we have integrated into the product this year. 

"What the Street!": An interactive data exploration of urban mobility infrastructure using OpenStreetMap | « What the Street! » : une exploration des données interactive des infrastructures de transport urbaines à l’aide d’OpenStreetMap
Presenter: Joey Lee, moovel Labs
Copresenters: Michael Szell , Stephan Bogner, Benedikt Groß, Raphael Reimann, moovel Labs
What the Street! is an interactive data visualization and research project that uses OpenStreetMap data to better understand how mobility infrastructure is allocated in cities. We attempt to engage our audience to question to what extent the space for bikes, trains, and cars in their city reflects their city's modal split. In this talk, we will present the concept and process behind What the Street! and provide some insights behind developing an interactive geo-data communication project.  

Data-driven cartography for data scientists | La cartographie orientée données pour les scientifiques des données
Presenter: Andy Eschbacher, CARTO
The de facto standard for data scientists to communicate analysis is through Jupyter notebooks, a format for running and communicating code, narrative text, and interactive graphics. But we noticed that good cartographic defaults were either very hard or required dozens of lines of code to get just right.

To support good mapping practices in the data science community, we've created a Python packages that allows for data-driven cartography based on CARTO's services that allows users to embed maps within a notebook to support the overall data analysis narrative. See examples here: https://github.com/CartoDB/cartoframes/blob/master/examples/Basic%20Usage.ipynb

We offload the cartography to rely on CARTO's TurboCarto for creating dynamic styling based on the data in the current view, CartoColors for web-ready cartographic defaults, and defaults that are responsive to the basemap and type of geometry.

See the full project (under active development) here: https://github.com/CartoDB/cartoframes

avatar for Nick Burchell

Nick Burchell

Director, QA & Customer Services, Avenza Systems Inc.
avatar for Joey Lee

Joey Lee

research associate, moovel lab

Wednesday October 11, 2017 2:00pm - 3:40pm EDT
Salons 6 & 7, Level 3