Topic outline

  • General

    1. Course Summary
    2. Introduction to Marine GIS
    3. Introduction to QGIS
    4. View data in QGIS
    5. Map Projections and Coordinate Systems
    6. Create Base Map in QGIS
    7. Creating Data Collection from the World Ocean Database
    8. Introduction to Ocean Data View
    9. Working with Spreadsheet Data
    10. Edit Data in QGIS
    11. Edit Data: Area of Interest and Analysis Mask
    12. Interpolating surfaces
    13. Rendering Raster Data
    14. Raster Calculator
    15. Working with NetCDF
    16. Plotting Vector Arrows from U and V Component Grids
    17. Downloading species observations from the Ocean Biogeographic Information System (OBIS)
    18. Creating KML files for Google Earth
    19. Publication Quality Maps
  • Topic 1

    Course Summary

    This course provides an in depth overview of the application of Geographic Information Systems (GIS) to the marine environment using QGIS.

    Aims and Objectives:

    • Provide an introduction to GIS for marine applications
    • Focus on some publicly available marine datasets
    • Show the potential applications of GIS for the marine environment

    Learning Outcomes:

    • Knowledge and understanding of GIS, spatial data, raster and vector models
    • Core tasks involved in the GIS analysis process including data acquisition, management, manipulation and analysis, and presentation and output
    • Core functionality of QGIS Desktop and QGIS Browser
    • Creating and editing spatial data
    • Appreciation of coastal and marine GIS data applications

    Topic outline

    • Topic 2

      Introduction to Marine GIS

      A Geographic Information System (GIS) is a technology for managing geographic, or spatial, data. It is an integrated set of hardware and software tools used for the capture, storage, analysis and display of geographic data. GIS technology integrates common database operations such as query and statistical analysis with the visualisation and geographic analysis benefits offered by maps and charts.

    • Topic 3

      Introduction to QGIS

      Why QGIS?

      As information becomes increasingly spatially aware, there is no shortage of tools able to fulfill some or all commonly used GIS functions. Why should anyone be using QGIS over some other GIS software package?

      Here are only some of the reasons:

      • It’s free, as in lunch. Installing and using the QGIS program costs you a grand total of zero money. No initial fee, no recurring fee, nothing.
      • It’s free, as in liberty. If you need extra functionality in QGIS, you can do more than just hope it will be included in the next release. You can sponsor the development of a feature, or add it yourself if you are familiar with programming.
      • It’s constantly developing. Because anyone can add new features and improve on existing ones, QGIS never stagnates. The development of a new tool can happen as quickly as you need it to.
      • Extensive help and documentation is available. If you’re stuck with anything, you can turn to the extensive documentation, your fellow QGIS users, or even the developers.
      • Cross-platform. QGIS can be installed on MacOS, Windows and Linux.

      Now that you know why you want to use QGIS.

    • Topic 4

      View data in QGIS Desktop

      Main windows:
      QGIS provides several windows, convenient for the user. Main windows of QGIS include:

      • Data displaying and managing Windows; in these windows there are subwindows as follows:

      ü  Window for managing data layers (layers)

      ü  Window for data browser (Browser)

      ü  Window for displaying attribute (Attribute Table)

      ü  Print window

    • Topic 5

      Map Projections and Coordinate Systems

      A geographic coordinate system defines locations on the earth using a three-dimensional spherical surface. A coordinate system includes an angular unit of measure, a prime meridian, and a datum (based on a spheroid). A feature is referenced by its longitude and latitude values. Longitude and latitude are angles measured from the earth’s centre to a point on the earth’s surface measured in degrees. See Geolocation by Latitiude and Longitude (OceanTeacher Digital Library).

      In a GIS every dataset has a coordinate system which is used to integrate it with other geographic data layers within a common coordinate framework. Coordinate systems enable you to perform various analytical operations such as overlaying data layers from disparate sources and coordinate systems. There are two common types of coordinate systems used in GIS:

      • A global or spherical coordinate system such as latitude-longitude, often referred to as a geographic coordinate system.
      • A projected coordinate system which project a map of the earth's spherical surface onto a two-dimensional Cartesian coordinate plane. Projected coordinate systems are referred to as map projections.

      Geographic Coordinate Systems.
      A geographic coordinate system is a coordinate system that enables every location on the Earth to be specified by a set of numbers (Wikipedia). The exercises in this course will be using geographic (or unprojected) coordinate system using a rectangular latitude and longitude grid.

      Map Projections, USGS
      Understanding Map Projections, ESRI

    • Topic 6

      Create Base Map in QGIS

      As a first step to developing a national marine data collection it is necessary to define the Area of Interest (AOI). There are a number of resources where you can download base map data. Some examples are high resolution country data (including administrative boundaries, roads, railways, land cover and population density), global bathymetry contours and coastline, and global EEZ boundaries. These data layers are available as shapefiles and can be used directly in ArcMap.

      All exercises in this course will be based around the West African country of Liberia. The methods used here, however, can be used for your own area of interest.

    • Topic 7

      Creating Data Collection from the World Ocean Database

      The World Ocean Database Project, or WOD, is a project established by the Intergovernmental Oceanographic Commission (IOC). WOD represents the world’s largest collection of ocean profile-plankton data available internationally without restriction with data coming from the National Oceanographic Data Centres (NODCs) of IODE as well as other international programmes such as World Ocean Circulation Experiment (WOCE) and Joint Global Ocean Flux Study (JGOFS), CLIVAR , Argo, Global Temperature-Salinity Profile Project (GTSPP). See World Ocean Database and World Ocean Atlas (OceanTeacher Digital Library).

      The data in the World Ocean Database are made available through the online search and retrieval system known as WODselect. The WODselect retrieval system allows a user to search World Ocean Database 2009 and new data added since its release using a user-specified search criteria. A distribution map and cast count of these search criteria will give the user the option to have the data extracted and placed on the NODC FTP site in the WOD09 native and ".csv" data format.

    • Topic 8

      Introduction to Ocean Data View

      Ocean Data View (ODV) is a software package for the interactive exploration, analysis and visualization of oceanographic and other geo-referenced profile or sequence data. ODV can display original data points or gridded fields based on the original data. ODV can be downloaded here. You will need to register as a member of the ODV users group first.

      This exercise will briefly introduce ODV to create an ODV collection from the World Ocean Database and then export the data from ODV so it can be used in ArcGIS.

      You can learn more about ODV watching this .

    • Topic 9

      Working with Spreadsheet Data

      Tables containing X and Y coordinates (Longitude and Latitude) and ocean parameters can be imported into QGIS and converted to a shapefile. The ocean parameters that have been extracted from World Ocean Database and processed in Ocean Data View will be used in this exercise.

    • Topic 10

      Edit Data in QGIS

      QGIS includes some basic editing functions that allows you to create and edit several kinds of feature geometry data including points, lines, polygons, text , and tables. When you edit in QGIS, the entire workspace, that is, all the layers in the workspace are available for editing.

      This tutorial introduces some basic skills needed to proceed with editing in QGIS. 

    • Topic 11

      Edit Data: Area of Interest and Analysis Mask

      ArcMap editing functions allows you to create new shape files. This exercise will use the ArcMap edit tools to create a polygon to define the area of interest and a landmask polygon to represent the land area that will be used to hide land-based features.

    • Topic 12

      Interpolating surfaces

      Interpolation is process by which a surface is created, usually as a raster dataset, through the input of data collected at a number of sample points in addition to computed points. There are different ways to derive prediction by interpolation function, for example, linear, IDW, spline, kriging. Read the article on Map Interpolation in OceanTeacher and Understanding Raster Interpolation (ESRI).

    • Topic 13

      Rendering Raster Data

      When a raster dataset layer is added toQGIS, it is displayed using the default renderer most appropriate for the raster layer. QGIS allows you to choose from different drawing methods based on your display and analysis needs. You can change display colours, group data values into classes, or stretch values to increase the visual contrast. This exercise will use the Stretched renderer to display continuous raster cell values across a gradual ramp of colours.

    • Topic 14

      Raster Calculator

      The Raster Calculator, which is part of the Spatial Analyst extension, provides a powerful tool for performing mathematical calculations using operators and functions, set up selection queries, or type in Map Algebra syntax. Inputs can be raster datasets or raster layers, coverages, shapefiles, tables, constants, and numbers.

      Map algebra provides tools to perform spatial analysis operations and is based on matrix algebra which is the algebraic manipulation of matrices or grid networks. See Map Algebra in the OceanTeacher Digital Library.

    • Topic 15

      Working with NetCDF

      NetCDF is a set of self-describing, machine-independent data formats that support the creation, access, and sharing of array-oriented scientific data. It is a file format for storing multidimensional scientific data (variables) such as temperature, humidity, pressure, wind speed, and direction.The project homepage is hosted by the Unidata program at the University Corporation for Atmospheric Research (UCAR). NetCDF is now being routinely used in some global remote sensing programs, for example the Group for High Resolution Sea Surface Temperature (GHRSST). GHRSST provides high quality sea surface temperature (SST) data for applications such as operational ocean and atmospheric forecasting systems to constrain the modelled upper ocean circulation thermal structure and for exchange of energy between the ocean and atmosphere.

      GHRSST data products include:

      • Level 2 data products that provide satellite SST observations together with a measure of uncertainty for each observation in netCDF format. These data are ideal for data assimilation systems or as input to analysis systems.
      • Level 4 gridded products that are generated by combining complementary satellite and in situ observations within Optimal Interpolation systems. These data are ideal for model diagnostic studies, model boundary condition specification and model initialisation.
    • Topic 16

      Plotting Vector Arrows from U and V Component Grids

      QGIS can be used to generate motion vector arrows (also known as quiver or velocity plot) from U and V component grids for ocean currents and wind data to plot speed and direction vectors. 

      Marine Geospatial Ecology Tools (MGET). MGET is an open source geoprocessing toolbox designed for coastal and marine researchers and GIS analysts who work with spatial ecological and oceanographic data. MGET includes over 250 tools useful for a variety of tasks, such as downloading popular oceanographic datasets in GIS-compatible formats, identifying fronts and eddies in satellite images, building statistical habitat models from species observations and creating habitat maps, modeling biological connectivity by simulating hydrodynamic larval dispersal, and building grids that summarize fishing effort and other statistics. MGET includes a tool called Create Lines From Vector Component Rasters, which allows you to visualize current rasters or other vector fields with a shapefile that resembles a "quiver plot".

      quiver plot

      COADS monthly climatologies of Zonal and Meridional Wind can be used for gridding Zonal [U component or E-W vector] and Meridional [V component or N-S vector] Winds and Scalar Wind Speed. Read more about Scalars and Vectors in the OceanTeacher Digital Library.

      • Topic 17

        Downloading species observations from the Ocean Biogeographic Information System (OBIS)

        The Ocean Biogreographic information System (OBIS) provides a portal to datasets containing information on where and when marine species have been recorded. The datasets are integrated so you can search them all seamlessly by species name, higher taxonomic level, geographic area, depth, and time; and then map and find environmental data related to the locations. OBIS is part of the Intergovernmental Oceanographic Commission (IOC) of UNESCO, under its International Oceanographic Data and Information Exchange (IODE) programme.

        OBIS data can be downloaded directly from the OBIS web site

        You can learn more about OBIS on this video.

      • Topic 18

        Creating KML files for Google Earth

        KML is a file format used to display geographic data in an earth browser, such as Google Earth and Google Maps. A KML file specifies a set of features (place marks, images, polygons, 3D models, textual descriptions, etc.) for display in Google Earth and Google Maps, or any other geobrowser implementing the KML encoding. Each place always has a longitude and a latitude. Other attribute data can also be included. KML files are very often distributed in KMZ files, which are zipped files with a .kmz extension.

        Example KML document


        For more information see the KML Tutorial.

      • Topic 19

        Publication Quality Maps

        QGIS has the capability to create a map for printing or inclusion in another document using the Composer. The final map can include the map itself (which is the same as the data frame), a title, a legend, a scale, a north arrow, date of publication, and acknowledgements about data sources.

      • Topic 20

        Students Presentations - Kuala Terengganu