My Account     Contact Us     Cart

Articles

Avenza awards Student Winners of the 48th Annual CaGIS Annual Map Design Competition

The Cartography and Geographic Information Society (CaGIS) promotes interest in map design and significant design advances in cartography.  Avenza Systems sponsors several awards for the Student Entries at the Annual Map Design Competition which is open to all map makers in Canada and the United States. Students are highly encouraged to apply to this competition

The winners of the Annual Map Design Competition 2020 include aspiring map makers from many schools throughout North America. Avenza is proud to announce that the winners of the  David Woodward Digital Map Award are Yu Lan and Sridhar Lam for their maps titled ‘The Animated Bivariate Map of COVID-19’ and ‘Geovisualization of the York Region 2018 Business Directory’, respectively. In addition, Avenza is proud to announce that the winners of the Arthur Robinson Print Map Award are Kevin Chen and Nicholas Weatherbee for their maps titled Victoria and the Halifax Tram Network, respectively. 

“We used the bivariate map to represent the daily relative risk and the number of days that a county has been in a cluster. In this product, users are able to discover the space-time pattern by watching and playing with the animated and interactive map.“ – Yu Lan, Ph.D. Student, UNC Charlotte

The Animated Bivariate Map of COVID-19 by Yu Lan

“Overall, the dashboard provides an effective geovisualization with a spatial context and location detail of the York Region’s 2018 businesses. The dashboard design offers a dark theme interface maintaining a visual hierarchy of the different map elements such as the map title, legend, colour scheme, colour combinations ensuring contrast and balance, font face selection and size, background and map contrast, choice of hues, saturation, emphasis etc.” – Sridhar Lam, Master of Spatial Analysis, Ryerson.

Geovisualization of the York Region 2018 Business Directory by Sridhar Lam

“This map aims to produce a detailed, accurate, and visually appealing topographic map of Victoria, British Columbia. It was generalized using data from two different scales to a final scale of 1:100,000. Hillshades were created to enhance the terrain visualization. My goal is to start a meaningful career in cartography and GIS” – Kevin Chen, Nova Scotia Community College

Victoria Map, created using Avenza MAPublisher, by Kevin Chen
Halifax Tram Network by Nicholas Weatherbee

Mapping Class: Georeferencing Techniques Part One – The Basics, with Hans van der Maarel

Welcome back to another exciting edition of Mapping Class, a new video-blog series where we curate tutorials and workflows created by expert cartographers and Avenza power users from around the world. For this article, we are excited to introduce Hans van der Maarel, owner of Red Geographics, and expert cartographer. Joining us from Netherlands, Hans has put together a video tutorial showcasing tips and tricks for tackling Georeferencing in a variety of different mapping scenarios. In this first part, Hans goes over the basics of georeferencing in MAPublisher, using a neat city map of Zevenbergen. Tune in for Part Two, coming soon, which will reveal how Hans approaches more challenging georeferencing tasks, including dealing with unknown projection information and working with historical maps.

Hans has produced a short video walkthrough detailing part one of his georeferencing process. The Avenza team has produced video notes (below) to help you follow along.

***

Georeferencing Techniques Part One: The Basics
by Hans van der Maarel (video notes by the Avenza team)

Georeferencing is the process of taking imagery or map data that lacks geographic location information and associating it with specific coordinates on Earth. Georeferencing is a very common, but sometimes challenging step that is necessary for producing accurate, meaningful cartographic products. By georeferencing map data, cartographers can ensure that the features on their maps are located correctly, and in a way that accurately represents the real world. Georeferencing also makes it easy to add and update maps with new data layers, as location information stored within the new map layers will be accurately overlaid in the correct position on older map projects. The process for georeferencing maps can be complicated, but Hans has outlined some easy-to-follow steps for quickly performing and validating simple georeferencing tasks with vector map data.

In general, effective georeferencing needs to include at minimum three known control points. In this example, Hans has included an additional fourth control point to provide additional accuracy. 

When locating control points, it is a good idea to choose points that roughly approximate the four corners (quadrants) of your map area. Doing so can ensure the georeferencing result is accurate for the entire coverage of the map area and minimizes distortion/shearing effects as the map layers are matched to the final coordinate system. Cartographers should take time to ensure the chosen control points are as accurate as possible, as errors in control point placement will propagate across all locations in the map. Poor control point placement can lead to overall poor georeferencing accuracy. 

Using the MAP Page location tool, place four control points at known, easily identifiable locations. Hans recommends placing control points at recognizable map features that can be easily seen on the reference imagery. For this example, Hans chose to use the corners and edges of major structures (i.e larger buildings/reservoirs) or the centers of well-known major road intersections. When using road features as reference control points, Hans recommends using the center of the feature rather than the edge. This can compensate for variation in road edge placement that can occur when the vector line layer does not completely match the true road/lane width in the imagery.

Mapping Class Georeferencing control point

Next, open the Georeferencing tool and select the “Add World Locations” option. From here, use the built-in web map to calculate latitude/longitude coordinates for each of your known control points. Using the satellite imagery view can make this process easier, especially when dealing with physical features on the map (i.e building corners). Repeat this for each of the four control points.

The resulting table will show a list of set coordinates for each of these control points. From here, if you already know the projection the map data is already in, you may set this coordinate system at this stage. If you are unsure, the georeferencer tool will automatically provide a suggested list of coordinate systems that match the control points you have set. These “best” matches are provided based on measuring the error between your user set coordinates and the real-world locations on the web map. Ideally, you want the lowest combined error value. In general, the suggested coordinate systems at the top of the list are often the best choice.

Once you select the desired coordinate system, the tool will automatically create a new MAP View where you can house your newly georeferenced map data. You will notice that the MAP Page Locations you created earlier will be displayed alongside the newly georeference control points. This is a great way to help validate your georeferencing as you will be able to observe the accuracy (or inaccuracy) of your placed control points.

Finally, it is a good idea to use the Find Places tool to validate your georeferencing results. Try searching for identifiable landmarks or major features on your map (i.e. train stations). Simply search for a location using the Find Places tool, and compare this to the georeferenced locations on your map.

This concludes Part One of “Georeferencing Techniques with Hans van der Maarel“. Now that you have covered the basics of Georeferencing in MAPublisher, tune in for part two in the next edition of Mapping Class. There you will see how Hans tackles more complex georeferencing projects, including what to do when you have small-scale maps that come from scanned or printed images, or where projection or referencing information is unavailable. Hans will be using a beautiful historical map of northwest Africa to demonstrate this problem. Look for it in the Avenza Resources Blog next month.

***

About the Author

Hans van der Maarel is the owner of Red Geographics, located in Zevenbergen, Netherlands. Red Geographics is a long-time partner of Avenza and Hans is a well-known power user of both MAPublisher and Geographic Imager. He uses the products for a wide range of cartographic projects for several international organizations and offers training courses and consultancy expertise aimed at developing workflows for clients. In addition to that, he is currently a board member of NACIS. To find out more about Red Geographics, and to see more work by Hans, visit redgeographics.com

News Archive

Blog Archive

December 2024 (1)
November 2024 (1)
October 2024 (1)
November 2024 (1)
September 2024 (1)
August 2024 (2)
July 2024 (1)
September 2024 (1)
June 2024 (1)
July 2024 (1)
May 2024 (1)
April 2024 (2)
May 2024 (1)
March 2024 (2)
February 2024 (1)
January 2024 (1)
December 2023 (1)
November 2023 (2)
October 2023 (2)
September 2023 (1)
August 2023 (1)
July 2023 (3)
June 2023 (1)
February 2023 (1)
January 2023 (2)
December 2022 (1)
November 2022 (2)
October 2022 (2)
September 2022 (1)
May 2023 (1)
August 2022 (2)
July 2022 (1)
June 2022 (2)
May 2022 (1)
February 2022 (1)
January 2022 (2)
August 2022 (1)
December 2021 (3)
November 2021 (5)
October 2021 (1)
September 2021 (3)
August 2021 (2)
July 2021 (1)
June 2021 (2)
May 2021 (2)
April 2021 (2)
March 2021 (3)
April 2021 (1)
February 2021 (1)
January 2021 (1)
November 2020 (1)
October 2020 (1)
June 2020 (2)
May 2020 (1)
April 2020 (3)
March 2020 (2)
December 2019 (1)
November 2019 (2)
September 2019 (1)
August 2019 (1)
July 2019 (1)
June 2019 (3)
May 2019 (4)
April 2019 (2)
March 2019 (1)
February 2019 (2)
January 2019 (3)
December 2018 (2)
November 2018 (1)
October 2018 (1)
September 2018 (2)
August 2018 (4)
July 2018 (2)
June 2018 (1)
July 2018 (1)
June 2018 (4)
May 2018 (1)
April 2018 (2)
March 2018 (4)
February 2021 (1)
February 2018 (1)
January 2018 (1)
November 2017 (1)
October 2017 (2)
August 2017 (2)
July 2017 (1)
March 2017 (1)
February 2017 (2)
January 2017 (2)
November 2016 (1)
January 2017 (1)
November 2016 (1)
October 2016 (2)
May 2016 (1)
March 2018 (1)
April 2016 (2)
December 2015 (2)
June 2015 (1)
May 2015 (1)
April 2015 (2)
December 2014 (4)
October 2014 (2)
May 2014 (4)
February 2014 (1)
October 2013 (3)
April 2013 (1)
January 2013 (2)
August 2012 (1)
October 2012 (1)
July 2012 (3)
May 2012 (2)
January 2012 (2)
August 2011 (1)
July 2011 (2)
June 2011 (2)
May 2011 (2)
March 2011 (1)
February 2011 (1)
January 2011 (5)
December 2010 (1)
November 2010 (1)
December 2010 (1)
November 2010 (1)
October 2010 (1)
August 2010 (4)
July 2010 (2)
June 2010 (3)
May 2010 (2)
April 2010 (2)
March 2010 (2)