Nova Scotia LiDAR mapGeospatial Data Analysis - Anita Graser Keynote Presentation CCA 2021 Annual Conference 1

May 25 to May 27, 2021

Geospatial technology has continually advanced over the past several years and high quality multi-dimensional mapping is now available to a much broader audience. There is growing interest in LiDAR technology for mapping natural disasters, forestry, flood mapping, and much more, Join us for a 3 day online conference where we explore LiDAR and other mapping techniques.

Connecting the Dots for
Multi-Dimensional Mapping

Geospatial Data Analysis - Anita Graser Keynote Presentation CCA 2021 Annual Conference 2

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lidar point cloud of San FranciscoGeospatial Data Analysis - Anita Graser Keynote Presentation CCA 2021 Annual Conference 2
LiDAR Intensity MapGeospatial Data Analysis - Anita Graser Keynote Presentation CCA 2021 Annual Conference 2

Geospatial Data Analysis – Anita Graser

This video was one of the Keynote presentations from the Connecting the Dots for Multi-Dimensional Mapping Conference (2021 CCA Annual Conference) held May 25th, 26th, & 27th, 2021, where various members provided presentations on  LiDAR technology, web mapping, flood mapping, forestry mapping, or Indigenous mapping, and other  cartography, GIS, and remote sensing projects in Canada.

Click here to view the other presentations from the event …

Anita Graser – Geospatial Data Analysis
Anita Graser is a researcher, open source GIS developer, and author

Anita Graser is a researcher, open source GIS developer, and author.

She works at the Austrian Institute of Technology in Vienna, teaches Python for QGIS at UNIGIS Salzburg and serves on the QGIS project steering committee. She has published several books about QGIS, including “Learning QGIS” and “QGIS Map Design”. Her latest project is MovingPandas, a Python library for analyzing movement data.

You can find out more about her work on anitagraser.com and follow her on Twitter @underdarkGIS.

In the keynote presentation from the 2021 CCA Annual Conference below, you will see how Anita frames her discussion within the context of geographic data science, discussing geospatial data analysis with a focus on visualization, showing a variety of examples, especially from her recent work on mobility data.

She demonstrated open source technologies, many that integrate with QGIS (e.g., GeoPandas, Jupyter Notebooks, R), and emphasized the importance of interdisciplinary communication within teams to turn data into insight and understanding.