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GeoMod

GeoMod 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 GeoMod rather than just read about it. In short: GeoMod is a raster-based land change modeling tool in the GIS software TerrSet that simulates the gain or the loss of a land category over a specified time interval. The model only simulates the spatial allocation of change between two land categories either forwards or backwards in time.

Key takeaways

  • GeoMod 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 GeoMod to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of GeoMod from memory before moving on to harder problems.

Reference excerpt

GeoMod is a raster-based land change modeling tool in the GIS software TerrSet that simulates the gain or the loss of a land category over a specified time interval. The model only simulates the spatial allocation of change between two land categories either forwards or backwards in time.

Simulation inputs GeoMod simulates land change based on a combination of several input requirements. First, users must specify the beginning (time 1) and end time (time 2) for the temporal extent of the simulation and must identify a time step for the simulation. The model also needs the image that depicts the two land categories (e.g. category 1= undeveloped and category 2=developed) at time and a projected quantity of the two categories at time 2. GeoMod also needs a suitability map, which shows the transition suitability of each pixel. The higher values in the suitability map, the more suitable the pixel is for transition the gain of category 2. If the user does not have a suitability map, GeoMod can create one using one or more driver images. A driver image is a categorical image that indicates the distribution of a variable that is believed to influence the change of the land-cover categories. GeoMod can separate the analysis into strata, such as political units, and then simulate change independently within each stratum. If the quantity of change from time 1 to time 2 indicates a net gain of category 2 in a particular stratum, then GeoMod assumes zero gross loss of category 2 during the simulation, meaning GeoMod does not simulate simultaneous gain and loss of an individual category within an individual stratum. GeoMod allocates change based on several user-defined decision rules, which are discussed in section 3.

Optional inputs In addition to the mandatory simulation inputs listed above, there are several additional optional data inputs.

A mask can differentiate between the background and the spatial extent of the study area. Driver image(s) can be used to create the suitability map. A land category map at time 2 (end time) can be used to automatically set the time 2 pixel counts for both category 1 and category 2. A stratification image can stratify the simulation by stratum. Strata are regions of analysis, e.g. countries, states, counties. GeoMod can simulate land change in some strata from category 1 to category 2, and in other strata from category 2 to category 1. If a stratification image is used, the user must specify the quantity of pixels for the two categories at time 2 for each individual stratum.

Environmental impact analysis GeoMod can also analyze the environmental impact on the pixels that undergo change within a specified time interval. This optional feature requires an image showing the environmental resource of interest, an image showing the ratio of the potential impact to the environmental resource of interest, and an image showing the ratio of simulated impact to potential impact. If the latter two images are not available, a fixed ratio for the entire study area may be used.

GeoMod decision rule for allocating change

Decision rule 1 Decision rule 1 is mandatory and assumes a one-way change either forward or backwards in time within each stratum. The model determines which category experiences a net increase and then simulates gross gain in that category and zero gross loss of that category.

Decision rule 2 Decision rule 2 is optional and it concerns regional stratification. Rule 2 can allow for change from category 1 to category 2 in some strata and from category 2 to category 1 in other strata. When using regional stratification, the user has to specify the quantity for each category at time 2 in each stratum.

Decision rule 3 Decision rule 3 is also optional and it focuses on the neighborhood constraint. GeoMod can geographically limit the simulated change to pixels that are on the edge between category 1 and category 2. The model can thus apply a user-defined minimum search width to constrain where simulated change occurs.

Decision rule 4 Decision rule 4 is also optional and concerns a suitability map. When simulating the transition from category 1 to category 2, GeoMod simulates change from the category 1 pixels that have the largest suitability values.

Validation Pattern validation shows how the simulated change compares to reference change, for cases where a reference map is available for validation. A visual approach makes use of the CROSSTAB module in TerrsSet by comparing three maps simultaneously: Reference time 1, Reference time 2, and Simulated time 2. Additionally, the Total Operating Characteristic (TOC) curve may be used to compare the suitability map to a map of reference change. Terrset has a module called ROC, which can assist in the selection thresholds for the TOC.

Deforestation Geomod can be used to model land change in forest cover to assess the potential for future REDD+ projects. Modeling deforestation requires assessing appropriate calibration intervals, usually two thirds of a dataset that extrapolate out to future scenarios and have been validated using the final third of the dataset. The amount of change can be specified within the module and the allocation of change is determined by suitability driver maps. These maps are created based on user-selected datasets, such as distance to roads.

Exploratory Usage of Geomod While typically used to simulate land change, Geomod can also be used to produce suitability maps for invasive species distribution. This subject is further discussed in a video on Finding Geographic Gradients with GEOMOD.

References

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with GeoMod

Start with the simplest possible case. Write down what GeoMod 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 GeoMod 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 GeoMod 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 GeoMod

In research
GeoMod 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 GeoMod 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
GeoMod is common in secondary-school and first-year university syllabi. It links to neighbouring topics GIS software, so understanding it makes those chapters shorter.
In everyday life
Look for GeoMod 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 GeoMod in 20 minutes

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

Frequently asked questions

What is GeoMod in simple terms?

GeoMod is a raster-based land change modeling tool in the GIS software TerrSet that simulates the gain or the loss of a land category over a specified time interval. The model only simulates the spatial allocation of change between two land categories either forwards or backwards in time.

Why does GeoMod 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 GeoMod?

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 GeoMod.

Tags

  • GIS software

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