Creating IDW and Spline Interpolation Maps Using QGIS
Performing IDW and Spline Interpolation Methods Using QGIS
Contents
Learning Outcomes of this Tutorial
Performing the following tasks within 'Quantum' GIS (QGIS): Importing point data files (shapefile, CSV); importing satellite imagery basemaps; labeling point data using attribute information; creating interpolated raster surfaces using IDW and spline interpolation methods (point shapefile being used for the model input), symbolizing interpolation raster surfaces, clipping raster surfaces with digitized polygons, and exporting the raster surfaces as a map.
Purpose
The purpose of this tutorial is to show users how to perform Inverse Distance Weight (IDW) and Spline interpolations, using several tools and plugins within QGIS, with the goal of creating interpolation maps. For the knowledge level of this tutorial, it is assumed that the user has some experience with GIS systems, whether it be from commercial products such as ESRI ArcMap or MapInfo or from open source packages such as QGIS, GRASS GIS, etc. However, this tutorial incorporates screen-shots for each step of the procedures and should be easy to follow along to.
Introduction
The purpose of this project was to explore toolsets and applications within different ‘open source’ geographic information systems (GIS) programs. The term ‘open source’ refers to the fact that all of these programs are free of charge to use, compared to more commonly known/taught (and user friendly) commercial packages such as ArcGis, which have costly license subscriptions. For a good listing of open course GIS programs available for download, visit the Open Source GIS page. This project was completed as a partial requirement (final course project) of the GEOM-4008 GIS course at Carleton University. For a complete list of other tutorials created for this course by students in the past, visit the CUOSG page.
Data
The data set being used for the purpose of this tutorial is a lake water geochemical dataset, consisting of 25 sampled locations on Frame Lake (Yellowknife, North West Territories), provided by the Patterson Research Group at Carleton University. This dataset has measured concentrations of major chemical elements (in PPM) and trace elements (PPM and PPB). The purpose of collecting this data is to map the concentration distributions of harmful elements, such as As, Pb, Hg and Cr within the lake, in order to determine which parts of the lake need the most remediation work done before trying to reintroduce fish populations into the lake.
However, this is unpublished scientific research data and therefore cannot be shared yet. However, any point data-set can be used for the purpose of this tutorial, so long as the points have a geographic location and an attribute that can be used for the interpolation (elevation, chemical concentration, etc). Some good sources of data for this tutorial include: Geobase, Geogratis, GIS Data Depot and Free GIS Data .
About QGIS
As described on their website, QGIS is a "A Free and Open Source Geographic Information System", and the latest version (v2.6) of the software is available for download on their Official Website. Like other GIS platforms it can be used to edit, create, visually represent, analyze and export a variety of geospatial data and it is licensed under the GNU General Public License. QGIS is an official project of the Open Source Geospatial Foundation (OSGeo). It runs on Linux, Unix, Mac OSX, Windows and Android and supports numerous vector, raster, and database formats and functionalities.
Acquiring QGIS (v.2.2) for this Tutorial
The slightly older version of QGIS that will be used for the purpose of this tutorial is v.2.2 which can be downloaded from this link link.
