computer science

Whitebox Geospatial Analysis Tools

Whitebox Geospatial Analysis Tools is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Whitebox Geospatial Analysis Tools rather than just read about it. In short: Whitebox Geospatial Analysis Tools (GAT) is an open-source and cross-platform Geographic information system (GIS) and remote sensing software package that is distributed under the GNU General Public License. It has been developed by the members of the University of Guelph Centre for Hydrogeomatics and is intended for geospatial analysis and data visualization in research and education settings.

Key takeaways

Whitebox Geospatial Analysis Tools belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Whitebox Geospatial Analysis Tools to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Whitebox Geospatial Analysis Tools from memory before moving on to harder problems.

Reference excerpt

Whitebox Geospatial Analysis Tools (GAT) is an open-source and cross-platform Geographic information system (GIS) and remote sensing software package that is distributed under the GNU General Public License. It has been developed by the members of the University of Guelph Centre for Hydrogeomatics and is intended for geospatial analysis and data visualization in research and education settings. The Whitebox GAT project started as a replacement for the Terrain Analysis System (TAS), a geospatial analysis software package written by John Lindsay. The current release supports raster and vector (shapefile) data structures. There is also extensive functionality for processing laser scanner (LiDAR) data containing LAS files. Whitebox GAT is extendable. Users are able to create and add custom tools or plugins using any JVM language. The software also allows scripting using the programming languages Groovy, JavaScript, and Python.

Analysis tools Whitebox GAT contains more than 385 tools to perform spatial analysis on raster data sets. The following is an incomplete list of some of the more commonly used tools:

GIS tools: Cost-distance analysis, buffer, distance operations, weighted overlays, multi-criteria evaluation, reclass, area analysis, clumping Image processing tools: k-means classification, numerous spatial filters, image mosaicing, NDVI, resampling, contrast enhancement Hydrology tools: DEM preprocessing tools, flow direction and accumulation (D8, Rho8, Dinf, and FD8 algorithms), mass flux analysis, watershed extraction Terrain analysis tools: surface derivatives (slope, aspect, and curvatures), hillshading, wetness index, relative stream power index, relative landscape position indices LiDAR tools: IDW interpolation, nearest neighbour interpolation, point density, removal of off-terrain objects (non-ground points)

Software transparency The Whitebox GAT project links the software's development and user communities, known as software transparency, or open-access software (considered an extension of open-source software). The philosophy of transparency in software states that the user:

Has the right to view the underlying workings of a tool or operation, and Should be able to access this information in a way that reduces, or ideally eliminates, any barriers to viewing and interpreting it. This concept was developed as a response to the code base of many open-source projects being so massive, and its organization so complex, that individual users often find the task of interpreting the underlying code too daunting when they are interested in a small portion of the overall code base, e.g. if the user would like to know how a particular tool or algorithm operates. Furthermore, when the software's source code is written in an unfamiliar programming language, the task of interpreting the code is made even more difficult. For some open-source projects, these characteristics can divide the development and user communities, often restricting future development to a few individuals that have been involved in the project during the earliest periods of development. The View Code button that is present on all Whitebox GAT tools is the embodiment of this software-transparency philosophy by pointing the user to the specific region of the source-code that is relevant to a particular tool, also allowing for code conversion to other programming languages. The Whitebox GAT logo is also representative of the open and transparent characteristic of the software, being a transparent glass cube, open on one face.

References

External links Official website Official website blog

Illustrations

Whitebox Geospatial Analysis Tools illustration

Worked examples

Example 1 — a first encounter with Whitebox Geospatial Analysis Tools

Start with the simplest possible case. Write down what Whitebox Geospatial Analysis Tools claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Whitebox Geospatial Analysis Tools before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Whitebox Geospatial Analysis Tools ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Whitebox Geospatial Analysis Tools

In research: Whitebox Geospatial Analysis Tools appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Whitebox Geospatial Analysis Tools in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Whitebox Geospatial Analysis Tools is common in secondary-school and first-year university syllabi. It links to neighbouring topics Free GIS software, GIS software, Remote sensing software, so understanding it makes those chapters shorter.
In everyday life: Look for Whitebox Geospatial Analysis Tools outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Whitebox Geospatial Analysis Tools in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Whitebox Geospatial Analysis Tools means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Whitebox Geospatial Analysis Tools out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Whitebox Geospatial Analysis Tools in simple terms?

Why does Whitebox Geospatial Analysis Tools matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Whitebox Geospatial Analysis Tools?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Whitebox Geospatial Analysis Tools.