Difference between revisions of "Introducing Geoprocessing Capabilities of SAGA in R Environment using RSAGA (Saga + Rstudio)"

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===DEM===
 
===DEM===
   
[[File:ORIGINAL_DEM.jpeg|500px|thumb|centre|]]]
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[[File:ORIGINAL_DEM.jpeg|500px||centre|]]
   
 
The above DEM of Gatineau Parking Located in Ontario, Canada is our area of interest for this tutorial. The specifications of this DEM - it is a 5 meter DEM which hold to be best for visualizing Terrain.It also is very useful when trying out 3D representation of a terrain's surface. Therefore, the user may consider going as far as 10 meter however, it is recommended the smaller the better for accuracy and interpretation.
 
The above DEM of Gatineau Parking Located in Ontario, Canada is our area of interest for this tutorial. The specifications of this DEM - it is a 5 meter DEM which hold to be best for visualizing Terrain.It also is very useful when trying out 3D representation of a terrain's surface. Therefore, the user may consider going as far as 10 meter however, it is recommended the smaller the better for accuracy and interpretation.

Revision as of 14:04, 19 December 2015

Purpose

This Wikipage has been created for GEOM4008 Class - Advanced Topics in Geographic Information Systems class at Carleton University. The main purpose of this tutorial is to introduce and familiarize future users to understand the computing geoprocessing commands in the R environment and while utilizing the SAGA-GIS platform. In this particular tutorial we will be attempting to work with Terrain Analysis modules on our area of interest - The Gatineau Park located in Ontario, Canada.

Objective

The objective of this tutorial would be to establish an understanding of using the geoprocessing tools by calling functions out between Rstudio and SAGA - RSAGA using R scripted commands.

Softwares Introduction

Rstudio

RStudio-Logo.png


This is an open software program deals with its own scripting language that is often used for data analysis, statistics and graphing of very large datasets. It also has the power to perform 69 modules as seen below, users are able to use spatial data such as DEM or Excel files to manipulate and perform geoprocessing via special commands within this software. The more you explore and use the commands the more comfortable you will get. Initially everyone feels the difficulty however, if the basics are understood well, it eases major geoprocessing tools. R studio is known for handling large datasets with efficiency and helps in optimizing results quicker in order to perform them multiple times at a time without the needs to run through the steps again and again. Also, R not only processes data but if users may want to visualize their spatial output of their data, R has a package called (sp) which has that feature.

Saga

Saga-logo.png


System for Automated Geoscientific Analyses - is a Geographic Information System (GIS) software with immense capabilities for geodata processing and analysis. Functions are organised as modules in framework independent Module Libraries and can be accessed via SAGA’s Graphical User Interface (GUI) or various scripting environments such python or Rstudio.

Data Setup

DEM

ORIGINAL DEM.jpeg

The above DEM of Gatineau Parking Located in Ontario, Canada is our area of interest for this tutorial. The specifications of this DEM - it is a 5 meter DEM which hold to be best for visualizing Terrain.It also is very useful when trying out 3D representation of a terrain's surface. Therefore, the user may consider going as far as 10 meter however, it is recommended the smaller the better for accuracy and interpretation.

Date Usage

Permission & Licence Agreement From

How to Sign the Agreement

Understanding Basic R Environment

Rsaga Tutorial

Types of Processes

Elevation
Slope
Aspect
Profile curvature
Plan curvature
Viewsheds/visibility
Wet index

Original R Script

Conclusion

Refrences