The nonstop sale!

Tired of needing coupon codes to save a few dollars? Now you can order a Locate Press e-book and get an instant deal on a second book. Deals start at 10% and go up from there.

Read on to see how to use the deal, learn how to place a bulk order of print books, and hear about our sponsorship of the MapScaping Podcast.
 

Get the deal

Saving 10%+ is now easier than ever. We will continue to have sales with more dramatic coupon savings for our subscribers, but anyone can now get started and save a few dollars.

To access the deal, just add a Locate Press e-book to your cart. On the cart page you will see a discount offer deal, tailored for you. You can even refresh your cart to see a different offer.

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Want to help support Locate Press and look good doing it? Our branded swag will help get the open source geospatial conversation started with your co-workers.

Get our new logo and colors or the classic design.

Goto Locate Press Redbubble store

We are a MapScaping Podcast Sponsor

(The first one actually)

The MapScaping Podcast helps deliver new and intriguing geospatial-related topics, many of which are open source or education focused. We are proud to be a sponsor to help support this work going forward.

Listen to MapScaping Podcast

Print Discounts for Courses

You can save on more than just e-books.
Avoid buying through Amazon or a distributor by emailing us to get direct access to 20%+ discounts on bulk purchases of only 5 or more books.

Contact us to place an order

QGIS Then and Now – 20 years later

Gary Sherman recently did a post showing how QGIS has grown since his first version twenty years ago. In a nutshell, it grew from 2,173 lines of code to over 2 Million! I had to check that twice to be sure.

We are also so thankful for his work on this and the many other devs that have picked up where he left off.

Thank you!

Click to read the full post on Spatialgalaxy.net

Check out the full post on Spatialgalaxy.net.

Year End Sale – 20% off geospatial e-books

Save on our final sale of the year

Use this coupon code until Jan 2nd to get 20% off e-books.

Pick any Locate Press e-book and enter the coupon code: XMAS21
The 20% discount will be applied when you add it to your cart.

Sign up for our newsletter to get receive future subscriber-only discounts.

Share the sale with your friends

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Educators save with 5 or more books

Need books for an event or course? Normally we limit bulk discounts to larger orders, but anyone can place an order with us directly – for at least 5 books and we will give a 20% retail discount. That’s like buying four and getting one for free.

What you do with them after is up to you – resell, giveaway, or get them autographed at an event – your call!  

Larger orders may enjoy even steeper discounts. We ship globally and print in USA, UK, and Australia.

Email tyler@locatepress.com with your order. 

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QGIS Map Design – Free Christmas DLC

It’s that time of the year again. When it’s dark and cold on the northern hemisphere, let’s grab a warm beverage of your choice and get mapping.

Inspired by the latest QGIS Open Day Freestyle Mapping Challenge, I set out to explore the Quantarctica project dataset. Today, I want to share with you the resulting map series. Like all recipes in QGIS Map Design, this blog post walks you through the process of creating these maps and provides all the resources to reproduce them yourself.

The historic Antarctic expedition of Roald Amundsen is one of five expedition routes mapped by the Quantarctica project which provides the data for our Christmas DLC maps.

This recipe assumes familiarity with QGIS styling, labeling, and layout creating basics, so we can focus on exciting new tips and tricks.

Base Map

Our map uses six layers of the Quantarctica dataset. The geographic context is provided by the ADD Simple basemap and Overview place name layers together with the South pole and Antarctic circle layers.

The two fonts used on this map are Arial and Steelfish.

The historic context is provided by the Five historic expedition routes and Historic stations layers. To show the travel direction of the expedition routes, we can create a trail of small arrow symbols by combining a simple line with custom dash pattern and a marker line:

So far, the map is pretty crowded because we see all five expeditions at once.

Let’s set up the Atlas map series, so we can create a dedicated map for each expedition.

Atlas Map Series

The historic expeditions have been digitized as ten line features in order to be able to distinguish between sections of the routes traveled by sea, land, and even air:

Counting the distinct leader values, there are actually six expeditions in this layer, however only five of them include sea routes.

Focusing on the five earliest expeditions, all of them contain sea routes. We can therefore set up the Atlas by filtering the route features to get only the five sea routes:

This setup will ensure that our Atlas will generate a map series with one map per expedition leader.

Make sure to activate the Altas preview mode now.

Filtering Routes & Stations

Back in the main QGIS window, we now can access the @atlas_feature to filter the routes layer accordingly. We want to show the sea route feature, as well as any other route feature that belongs to the same expedition leader:

Fun With Labels

So far, our map only shows basic labels for geographic features. In the following steps, we will add labels to the expedition routes and historical stations. Finally, we’ll use a rule-based labeling hack to put the finishing touches on our map.

Smooth Route Labels

Many of the expedition routes are anything but straight. They twist and turn and so do the letters of any labels we try to put on them. This effect becomes particularly prominent, when using large label fonts.

To create smoother looking labels, we can use the Geometry Generator (in the Label Placement tab) to create a smoother base line for labeling using an expression like:

smooth(simplify($geometry, 100000), 2)
The map in the background shows the generated simplified line geometry for illustration purposes.

Multi-color Labels

To show the station names and operating years in different colors, we can use HTML label formatting. To do so, we need to enable “Allow HTML formatting” (in the Label Text tab). Then we can build our label expression.

For this label, we combine three column (name, year_start, and year_end). Since year_end is empty (NULL) for some stations, it is important that we use the concat function (instead of the || operator). Otherwise, stations with a NULL value would not be labeled at all:

concat("name",
       '? <span style="color:#307f7f">(',
          "year_start", '-', "year_end",
       ')</span>' )

The ? character is used to insert a line break using the “Wrap on character” setting (in the Label Formatting tab).

Snowflakes *❆❅*

Last, but not least, for some (completely optional) Christmas spirit: let’s make it snow!

The snowflake styling trick used in this map is based solely on Unicode snowflake symbols and rule-based labeling.

As shown in this screenshot, the preview label color is red but it is over-ruled by the project variable flake_color.

By creating multiple rules that all apply to the same (land) polygons in our base map, we can create a random snowflake pattern. Randomness is introduced on different levels:

  • The label font size is randomized, e.g. rand(15, 60).
  • The label rotation is randomized by using the “free (angled)” placement mode.

Different rules have different priorities, with higher priority values assigned to label rules with larger font sizes.

The snowflake color can be adjusted by changing the project variable flake_color (in Project Properties | Variables). This way, we can change the color of all snow flakes at once, without having to edit every individual rule.

So Much More

There’s much more to discover in this project. For example, the label substitutions used to shorten the island labels or the decorations added in the layout:

So go grab the project and happy mapping!

Please ensure that you acknowledge or cite Quantarctica and the Norwegian Polar Institute if you use their dataset in your work.

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