X

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!



Deploy, Share, Repeat: AI Meets the Analytics Repository

Deploy, Share, Repeat: AI Meets the Analytics Repository

10/13/2025

The upcoming release of ENVI® Deep Learning 4.0 makes it easier than ever to import, deploy, and share AI models, including industry-standard ONNX models, using the integrated Analytics Repository. Whether you're building deep learning models in PyTorch, TensorFlow, or using ENVI’s native model creation tools, ENVI... Read More >

Blazing a trail: SaraniaSat-led Team Shapes the Future of Space-Based Analytics

Blazing a trail: SaraniaSat-led Team Shapes the Future of Space-Based Analytics

10/13/2025

On July 24, 2025, a unique international partnership of SaraniaSat, NV5 Geospatial Software, BruhnBruhn Innovation (BBI), Netnod, and Hewlett Packard Enterprise (HPE) achieved something unprecedented: a true demonstration of cloud-native computing onboard the International Space Station (ISS) (Fig. 1). Figure 1. Hewlett... Read More >

NV5 at ESA’s Living Planet Symposium 2025

NV5 at ESA’s Living Planet Symposium 2025

9/16/2025

We recently presented three cutting-edge research posters at the ESA Living Planet Symposium 2025 in Vienna, showcasing how NV5 technology and the ENVI® Ecosystem support innovation across ocean monitoring, mineral exploration, and disaster management. Explore each topic below and access the full posters to learn... Read More >

Monitor, Measure & Mitigate: Integrated Solutions for Geohazard Risk

Monitor, Measure & Mitigate: Integrated Solutions for Geohazard Risk

9/8/2025

Geohazards such as slope instability, erosion, settlement, or seepage pose ongoing risks to critical infrastructure. Roads, railways, pipelines, and utility corridors are especially vulnerable to these natural and human-influenced processes, which can evolve silently until sudden failure occurs. Traditional ground surveys provide only periodic... Read More >

Geo Sessions 2025: Geospatial Vision Beyond the Map

Geo Sessions 2025: Geospatial Vision Beyond the Map

8/5/2025

Lidar, SAR, and Spectral: Geospatial Innovation on the Horizon Last year, Geo Sessions brought together over 5,300 registrants from 159 countries, with attendees representing education, government agencies, consulting, and top geospatial companies like Esri, NOAA, Airbus, Planet, and USGS. At this year's Geo Sessions, NV5 is... Read More >

1345678910Last
«October 2025»
SunMonTueWedThuFriSat
2829301234
567891011
12131415161718
19202122232425
2627282930311
2345678
14662 Rate this article:
5.0

Nesting a hash within itself

Anonym

Lists and hashes have always been one of my favorite tools in IDL due to their versatile nature. A cool trick is that a hash can be stored recursively within itself. For example:

 

h = hash()
h['myself'] = h

 

With only level, this may not be particularly useful. However, this trick can be powerful for creating loops of information. Take days of the week, for instance. For fun, I'll use a DICTIONARY instead of a traditional hash, which has the convenience of the dot syntax for access.

 

Monday = dictionary('today', 'Monday')
Tuesday = dictionary('today', 'Tuesday')
Wednesday = dictionary('today', 'Wednesday')
Thursday = dictionary('today', 'Thursday')
Friday = dictionary('today', 'Friday')
Saturday = dictionary('today', 'Saturday')
Sunday = dictionary('today', 'Sunday')

 

Now define each day's tomorrow:

 

 

Monday.tomorrow = Tuesday
Tuesday.tomorrow = Wednesday
Wednesday.tomorrow = Thursday
Thursday.tomorrow = Friday
Friday.tomorrow = Saturday
Saturday.tomorrow = Sunday
Sunday.tomorrow = Monday

 

 

We can now loop through these days indefinitely. If we take Monday and request "tomorrow" seven times, we get Monday back again:

 

Next_Monday = Monday.tomorrow.tomorrow.tomorrow.tomorrow.tomorrow.tomorrow.tomorrow

 

We can store additional information in each of these hashes/dictionaries, such as a schedule for each day. 

 

Monday.Morning = 'Math 251, 9:00-10:00, Room 304'
Tuesday.Morning = 'Writing 301, 10:00-11:30, Room 211'

etc.

If today = Monday, then we can get today's morning schedule calling today.Morning. At the end of the day on Monday, we can say today = today.tomorrow, and tomorrow is the new today. Likewise, if we want today's morning schedule, we call today.Morning

Loops, routines, and cycles, are very common in the world as well as in scientific data. This method of information storage can be used for displaying radar data loops, with each frame stored in a hash that contains a "previous" and "next" frame. Additionally, it could be used for modeling states of pendulum or circular motion. It can be used for storing geographic information, such as time zones containing UTC offsets. There are probably many additional use cases.

As always, use caution with recursion. It is always unfortunate to find yourself killing code because it is stuck in an infinite loop. That said, be aware that JSON_SERIALIZE will not work in the examples above. Fortunately, given this use-case, there is no significant need to serialize the hashes' information into a string.

Please login or register to post comments.