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Using visual understanding environment layers
Using visual understanding environment layers







  1. #USING VISUAL UNDERSTANDING ENVIRONMENT LAYERS UPDATE#
  2. #USING VISUAL UNDERSTANDING ENVIRONMENT LAYERS MANUAL#
  3. #USING VISUAL UNDERSTANDING ENVIRONMENT LAYERS SOFTWARE#

Quantiles will adjust each class break to ensure that each class break contains exactly the same number of features. Produce a map that is almost uniformly a single color. For example a dataset with 99 features with a value between 1 and 5 and a single feature with a value of 50, would Equal Interval class breaksĮqual interval class breaks don’t work well when the data contains extreme outliers or heavily clustered data distribution. The range will just be divided by the number of class breaks.

#USING VISUAL UNDERSTANDING ENVIRONMENT LAYERS MANUAL#

Manual class breaks Equal Interval Class Breaks This type of class break is useful when there are pre-existing ranges that are used within your organization for classification purposes. This is the easiest, you just manually key in the number range for each class break. Let’s take a look at the options that are available in most GIS systems: Manual Class Breaks

using visual understanding environment layers

When building a quantity legend there are lots of ways to decide the number range of each class break. To define our class breaks we will need to tell the GIS two things the first is how many class breaks we want and the second is is the number range for each class break. Vertical quantity legend showing class breaksĮach color on this color ramp is commonly referred to as a class break. Our legend will show a color ramp with each color on the ramp representing a number range. So for example the “dealer” attribute for a sales territory could be Tom, Dick or Harry.Ĭreating the rules for quantities is a little more complex than it is for categories.

using visual understanding environment layers

Whilst features are the equivalent of rows, attributes are the equivalent of columns. Let’s continue to use the spreadsheet paradigm. Just like the category map above, this map is data driven and uses rules based on a number “attribute” in order to style each feature. This type of visualization is useful for identifying patterns and trends based on location and is most often used for business analysis and demographics mapping. Sometimes this type of map will be referred to as a heat map, but this is incorrect terminology and shortly we willīe looking at what a heat map actually is in GIS. This type of map is generally called a quantity map and if you are feeling particularly nerdy you can also call it a choropleth map. The darker color indicates more sales and lighter colors represent fewer sales.

#USING VISUAL UNDERSTANDING ENVIRONMENT LAYERS UPDATE#

Update your data, and the map updates automatically! The Quantity MapĮach feature in the map below is color coded based on sales. We just change the dealer value of a territory to Tom’s name and the map will magically update itself. In future if Tom gains more sales territories, we don’t need to touch the map. So we can tell our GIS that we want all sales territories that belong to Tom to be colored red and our GIS will dutifully oblige. For example our data looks like this: Territory sales dataĮach row in the table represents a feature on the map. The rules - or “styles” as we call them in GIS speak - are based on data. So whether we are mapping States, Walmart outlets or rivers, each individual State, Walmart outlet or river can be referred to as a “feature”. In GIS each location/thing on the map is generically referred to as a “feature”. You see a GIS is data driven, and we use rules to dictate the color or appearance of each “feature” on the map. To an extent that is what’s happening, except the GIS is doing the work rather than you. To change the color based on which dealer it belongs to. A Category map showing sales territories for Tom, Dick, and Harry Let’s Take A Look Under the HoodĪ common misconception for those new to GIS, is that maps - like the category map above - are created in the same way that a graphic designer might create an illustration i.e., starting with the outlines and then clicking on each area By looking at the legend we can quickly see which sales territories belong to which dealer. The example below shows sales territories, categorized by dealer. The most common type of GIS map, and in many way the most simple is the category map.Ī category map allows us to visualise which category each location belongs to. Let’s go ahead and look at some common examples. The idea being that each visualization is communicating something that might not be obvious from the raw data alone.

using visual understanding environment layers

The most common use of a GIS is is to produce data visualizations in the form of a map.

#USING VISUAL UNDERSTANDING ENVIRONMENT LAYERS SOFTWARE#

Beginner's Guide What is GIS? GIS Mapping GIS Data GIS Software Web GISĪ GIS has one purpose: To allow you to quickly and easily answer questions about your data that relate to location.









Using visual understanding environment layers