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NV5 Geospatial Blog

Each month, NV5 Geospatial posts new blog content across a variety of categories. Browse our latest posts below to learn about important geospatial information or use the search bar to find a specific topic or author. Stay informed of the latest blog posts, events, and technologies by joining our email list!



New ENVI Agent, IDL Agent, and GeoAgent Quick Guides

New ENVI Agent, IDL Agent, and GeoAgent Quick Guides

6/9/2026

The recent release of ENVI® Agent, IDL® Agent, and GeoAgent™ revolutionize how users interact with geospatial software. These agentic AI applications act as partners to plan, simplify, and execute complex workflows. Knowing where to start can be challenging for new users. To this end, we developed three new quick guides to... Read More >

Introducing NISAR Data Support

Introducing NISAR Data Support

6/5/2026

The release of ENVI® SARscape 6.3 in April 2026 includes preliminary support for NASA-ISRO SAR (NISAR) data. The NISAR mission is a joint Earth-observing satellite project between NASA and the Indian Space Research Organization designed to monitor changes in the planet’s land and ice surfaces using advanced radar imaging. It... Read More >

Monitoring Illegal Mining in the Amazon: Turning Persistent Data Into Actionable Insight

Monitoring Illegal Mining in the Amazon: Turning Persistent Data Into Actionable Insight

5/28/2026

Illegal mining over decades has constituted one of the most persistent and complex socio-environmental problems in the Brazilian Amazon. In recent years, with the increasingly intensive use of mechanized extraction, the associated environmental impacts—such as deforestation, intense soil disturbance, river siltation, and mercury... Read More >

From Answers to Action: Why ENVI and IDL Agents Go Beyond General AI

From Answers to Action: Why ENVI and IDL Agents Go Beyond General AI

4/20/2026

As generative AI tools like Claude and Gemini continue to gain traction, many organizations are asking the same question: Can general purpose AI actually support real geospatial workflows, or does it stop at surface-level answers? That question was front and center in our recent webinar, Meet Your New Partners in Science: ENVI... Read More >

Mapping Earthquake Deformation in Taiwan With ENVI

Mapping Earthquake Deformation in Taiwan With ENVI

12/15/2025

Unlocking Critical Insights With ENVI® Tools Taiwan sits at the junction of major tectonic plates and regularly experiences powerful earthquakes. Understanding how the ground moves during these events is essential for disaster preparedness, public safety, and building community resilience. But traditional approaches like field... Read More >

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4.0

Array Uniqueness in IDL

Anonym

 

When a person finds oneself in pursuit of retrieving information from data, it is often imperative to inspect every unique element - but why waste time on inspecting EVERY element when you can weed out the duplicates?

IDL has a uniq function built for just such a purpose. It goes in to an array, and removes any duplicates adjacent to one another.

Let's take an array:

IDL> array = [1,2,2,5,1,4,4,2]

When we run uniq on this array, it returns the indices that are NOT duplicates of an adjacent entry. This prints out:

IDL> print, uniq(array)

          0        2       3        4        6        7

In order to get back the original array with the elements removed, we can subset the array with these indices:

IDL> print, array[uniq(array)]

       1       2      5       1       4      2

The duplicate 2 and 4 have been removed, however there are still more duplicates in the array. To get just one of each unique element, you first have to use the sort function. This function also returns indices; in this case the indices that put the array in ascending order:

IDL> print, sort(array)

          4        0        7       2        1        6       5        3

Just like with uniq, these can be used to re-order the original array to get the sorted array:

IDL> print, array[sort(array)]

       1       1      2       2       2      4       4       5

Now for the final step - since this sorted array has all ofthe similar elements adjacent to each other, we can now use the uniq function to pull out all of the unique elements of the array.

IDL> s = array[sort(array)]

IDL> print, s[uniq(s)]

       1       2      4       5

Or for those that like to do it in one line:

IDL> print, (array[sort(array)])[uniq(array[sort(array)])]

       1       2      4       5

Now instead of looping over and entire array to check every element, IDL will be able to look through and array that is half the size of its original.

2 comments on article "Array Uniqueness in IDL"

Avatar image

Michael Galloy

A bit shorter for the one-line is to use the optional second argument to UNIQ:

IDL> print, array[uniq(array, sort(array))]

1 2 4 5


Avatar image

Jim P

In IDL 8.4, an even shorter way...

IDL> array.uniq()

1 2 4 5

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