Data Driven Pages Mapbooks in ArcGIS

Create thousands of maps instantly with data driven pages in ArcGIS

How to Use Data Driven Pages in ArcGIS

Data Driven Pages is a powerful map-making feature in ArcGIS 10. It allows you to generate multiple layer pages or mapbooks based on features stored in a layer.

Each page is generated based on the extent that is defined in the index value. For example, an index value could be different cities, pump stations or cemeteries. Dynamic textcan be displayed…

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10 Free GIS Data Sources: Best Global Raster and Vector Datasets

10 Free GIS Data Sources: Best Global Raster and Vector Datasets

Where can I find free GIS data?

GIS Data LayersIn a perfect world, you’d be able to find all the free GIS data you need in a single website. Of course, it would have to be free, downloadable from an authoritative source. But well, you know the drill. The world’s not perfect, life’s not fair.

So that’s why we’ve put together this list to turbo-charge your search for free GIS data. We provide a list of 10…

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Mean Absolute Error MAE in GIS

Mean Absolute Error MAE in GIS

What is Mean Absolute Error?

Mean Absolute Error (MAE) measures how far predicted values are away from observed values.

It’s a bit different than Root Mean Square Error (RMSE).

  • MAE sums the absolute value of the residual |x_{pred} - x_{obs}|
  • Divides by the number of observations.

MAE Formula:

MAE = {\frac{1} {N}{\sum\limits_{i = 1}^N {|x_{pred} - x_{obs} } }| }

How is MAE used in GIS?

MAE is used to validate any type of GIS modelling. MAE quantifies the difference between…

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Time Series Animation in ArcGIS

Time Series Animation in ArcGIS

How to Create a Time Series Animation in ArcGIS?

A time series animation in ArcGIS 10x integrates time with spatial data.

Time series animations work wonders… especially visualizing events. Imagine watching the melt of polar ice caps or the spread of a forest fire or disease. Showing these types of events captures your audience by viewing geography change with time.

These tools are at your…

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Nearest Neighbor Classification Guide in ECognition

Master the art & science of creating a land cover masterpiece with nearest neighbor classification in ECognition #GIS

How to do Nearest Neighbor Classification (NN) in ECognition Definiens Developer?

Imagine… By the end of this post, you will become a better remote sensing analyst… all because you learned the highly effective technique of object-based nearest neighbor image classification.

Or you might just learn something neat that we are going to see a lot more of in the future.

We’ve already compared unsuperv…

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Natural Earth Data - Free GIS Public Domain Data

What is Natural Earth Data?

Natural Earth LogoIf you’ve been in GIS for awhile, you probably know that it’s difficult sorting through all the different data sources that exist.

There are a couple of sources that really stand out. If you want to make a beautiful map, Natural Earth Data should be on the top of your list.

Natural Earth data is a free raster and vector data packagecontaining the most common elements…

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Use Principal Component Analysis to Eliminate Redundant Data

Run a Principal Component Analysis. Eliminate redundant data. Speed up processing time.

What is Principal Component Analysis in GIS?

PCA. You’ve probably seen this acronym before. PCA stands for “Principal Component Analysis“.

But what is it and how is it used in GIS and remote sensing?

Sometimes, variables are highly correlated in such a way that it would be duplicate information found in another variable. Principal component analysis identifies duplicate data over several datasets

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Multispectral vs Hyperspectral Imagery Explained

Imagine seeing in the eyes of bumble bees, goldfish and humans. Multispectral vs Hyperspectral Imagery Explained

What is the difference between multispectral and hyperspectral imagery?

Multispectral vs hyperspectral. What are the differences between the two?

You read this post. Your eyes see the reflected energy from your screen in three channels: red, green and blue.

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Root Mean Square Error RMSE in GIS

Master one of the most widely used statistics in GIS - Root Mean Square Error RMSE -

What is Root Mean Square Error RMSE?

Root Mean Square Error (RMSE) (also known as Root Mean Square Deviation) is one of the most widely used statistics in GIS. RMSE can be used for a variety of geostatistical applications.

RMSE measures how much error there is between two datasets. RMSE usually compares a predicted value and an observed value. For example, a LiDAR elevation point (predicted…

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