
an introduction
Geographic Information Systems (GIS) is a powerful technology that allows for the capture, storage, manipulation, analysis, and visualisation of spatial or geographic data.
It combines data from various sources, such as maps, satellite imagery, and surveys, to create detailed digital representations of the real world. GIS enables us to understand the relationships and patterns within geographic data, providing insights into the spatial
what data can i use?
Many different data types can be used and combined to create patterns and trends. Here are a few common examples:
- Vector Data: This includes points, lines, and polygons that represent geographic features such as roads, buildings, and boundaries. Vector data is often used for precise spatial analysis and mapping.
- Raster Data: Raster data consists of grids or pixels and is used to represent continuous data, such as satellite imagery, elevation models, and aerial photographs. Raster data is useful for terrain analysis, land cover classification, and visualization.
- Tabular Data: Tabular data contains attribute information associated with geographic features. It can include various attributes such as population demographics, land ownership details, or climate data. Tabular data is often linked to spatial data through a unique identifier.
- Georeferenced Images: These are images that have been spatially referenced to a specific location on the Earth’s surface. Georeferenced images can include historical maps, scanned plans, or aerial photographs, which can be used as a base for digitizing or extracting information.
- Remote Sensing Data: Remote sensing data, such as satellite imagery or LiDAR data, provides valuable information about the Earth’s surface. It can be used for monitoring land cover changes, detecting vegetation health, or assessing natural disasters.
- GPS Data: Global Positioning System (GPS) data collected from GPS receivers provides accurate location information, allowing for the creation of spatial datasets. GPS data is useful for field data collection, tracking movements, or creating accurate maps.
what are the main geoprocessing tools used in gis?
There are numerous geoprocessing tools available in GIS software that enable spatial analysis, data manipulation, and processing. Some of the main geoprocessing tools commonly used in GIS include:
- Buffer: Creates a buffer zone around a selected feature, often used to analyze proximity or containment.
- Overlay: Combines multiple spatial datasets to create a new dataset that retains the attributes and geometry of the input datasets. Overlay operations include union, intersection, difference, and identity.
- Clip: Extracts a subset of data from one layer based on the spatial extent of another layer, useful for isolating specific geographic areas of interest.
- Spatial Join: Combines attributes from two or more layers based on their spatial relationship, allowing for analysis and data transfer between layers.
- Network Analysis: Includes tools for finding optimal routes, calculating travel distances or times, and performing network-based analyses such as route allocation or facility location.
- Interpolation: Estimates values for locations where data is not available using statistical methods. Common interpolation techniques include inverse distance weighting (IDW), kriging, and spline.
- Proximity Analysis: Measures the distance between features, identifies nearest features, or creates distance decay buffers.
- Spatial Statistics: Includes tools for analyzing patterns, clustering, hotspots, and spatial autocorrelation in spatial data.
- Geocoding: Converts addresses or place names into geographic coordinates (latitude and longitude) to enable mapping and spatial analysis.
- Georeferencing: Aligns and scales raster or scanned images to real-world coordinates to integrate them with other spatial data.
How can i get started?
- Choose a GIS Software: There are several GIS software options available, both open-source and commercial. Popular open-source software includes QGIS and GRASS GIS, while commercial options include ArcGIS by Esri. Select a software that suits your needs, budget, and operating system.
- Install GIS Software: Download and install the chosen GIS software on your computer by following the installation instructions provided by the software provider.
- Learn the Basics: Familiarize yourself with the basic concepts of GIS, such as spatial data types, coordinate systems, and map projections. Understand how to navigate the GIS software’s interface and perform basic tasks like opening and visualizing data.
- Acquire Data: GIS relies on geospatial data, so find relevant datasets for your area of interest. There are various online sources where you can access free and paid geospatial data, including government portals, open data platforms, and specialized data repositories. Ensure the data is compatible with your GIS software.
- Explore Tutorials and Documentation: Take advantage of tutorials, user guides, and online documentation provided by the GIS software provider. These resources can help you understand different tools and techniques, perform basic analyses, and learn best practices.
- Practice with Sample Projects: Work on sample projects or exercises provided by the software documentation or online tutorials. This hands-on practice will help you gain confidence in using GIS tools, analyzing data, and creating maps.
- Join Online Communities: Engage with GIS communities, forums, and social media groups where you can ask questions, seek advice, and learn from experienced users. These communities often share useful resources, tips, and real-world examples.
- Further Training and Certification: If you want to deepen your GIS skills, consider enrolling in formal training courses or pursuing GIS certifications offered by reputable institutions or organizations. This can enhance your knowledge and credentials in the field.
tutorials and data to get started
Tutorials:
- QGIS Tutorials and Documentation: The official website of QGIS provides a comprehensive set of tutorials, user guides, and documentation to help you learn and utilize the software effectively. Visit their website at https://www.qgis.org/en/docs/ to access these resources.
- Esri’s GIS Tutorials: Esri, the provider of ArcGIS software, offers a wide range of tutorials and learning resources on their website. You can explore their tutorials at https://learn.arcgis.com/en/.
- YouTube Channels: There are several YouTube channels dedicated to GIS tutorials, such as “QGIS Tutorial for Beginners” by Klas Karlsson and “ArcGIS Tutorials” by Esri. These channels provide step-by-step video tutorials covering various GIS topics.
- Coursera: Coursera offers online courses on GIS and related topics. Platforms like “Geospatial and Environmental Analysis” by University of California, Santa Barbara, and “Learn GIS with ArcGIS” by Esri provide structured learning experiences with hands-on exercises.
Data:
- Natural Earth: Natural Earth offers freely available geospatial datasets at various scales, including cultural, physical, and raster data. Visit their website at https://www.naturalearthdata.com/ to access their datasets.
- OpenStreetMap (OSM): OSM is a collaborative mapping project that provides open-source map data contributed by volunteers worldwide. You can download OSM data or use it directly within GIS software. Visit the OSM website at https://www.openstreetmap.org/ for more information.
- Earth Observing System Data and Information System (EOSDIS): EOSDIS provides access to a wide range of satellite imagery and geospatial data from NASA’s Earth Observing System. You can explore their datasets at https://earthdata.nasa.gov/.
- UK Data Service: The UK Data Service offers access to a diverse collection of social, economic, and population datasets for the United Kingdom. Visit their website at https://www.ukdataservice.ac.uk/ to explore their data holdings.
- Data.gov: Data.gov is a U.S. government website that provides access to a vast collection of open data from federal agencies. You can search for geospatial datasets related to various topics on their website at https://www.data.gov/.
further reading
- “GIS Fundamentals: A First Text on Geographic Information Systems” by Paul Bolstad: This book provides a comprehensive introduction to GIS concepts, theories, and applications, making it suitable for beginners. It covers key topics such as spatial analysis, data management, and cartographic principles.
- “Getting to Know ArcGIS” by Michael Law and Amy Collins: This book is a practical guide to using ArcGIS software and covers fundamental GIS concepts, data management, spatial analysis, and cartography. It includes step-by-step exercises to help you apply GIS techniques.
- “Geographic Information Systems and Science” by Paul Longley, Mike Goodchild, et al.: This book offers an in-depth understanding of GIS principles, methods, and applications. It covers topics such as spatial data modeling, spatial analysis techniques, and GIS in society.
- Esri Blogs: Esri, the provider of ArcGIS software, maintains several blogs related to GIS. The Esri Blogs cover a wide range of topics, including tutorials, case studies, and industry trends. You can explore their blogs at https://www.esri.com/about/newsroom/blogs/.
- GIS Lounge: GIS Lounge is a popular online resource for GIS articles, tutorials, and news. It covers a broad range of GIS topics, including remote sensing, spatial analysis, and GIS software. Visit their website at https://www.gislounge.com/ for valuable insights and resources.
- Geoawesomeness: Geoawesomeness is a blog that focuses on geospatial technology and its applications. It features articles, interviews, and news related to GIS, mapping, and remote sensing. Explore their website at https://geoawesomeness.com/ for interesting reads and updates.
- Directions Magazine: Directions Magazine is an online publication that covers various geospatial topics, including GIS technology, applications, and industry news. Visit their website at https://www.directionsmag.com/ for informative articles and resources.
A very simple tutorial to get you started
Getting Started with GIS using Point Data
Objective: Learn the basics of GIS by working with a simple point dataset and performing basic analysis and visualization.
Requirements:
- GIS Software: Install QGIS, a free and open-source GIS software, on your computer. You can download it from the official website: https://www.qgis.org.
Steps:
- Install and Launch QGIS:
- Download and install QGIS following the instructions on the official website.
- Launch the software to begin working.
- Acquire Point Data:
- For this tutorial, we’ll use a sample dataset of tree locations in a city.
- Download the sample dataset from this link: Sample Tree Dataset.
- Save the dataset to your computer.
- Load Data into QGIS:
- Open QGIS and click on the “Add Data” button.
- Browse to the location where you saved the sample dataset and select it.
- QGIS will load the point data onto the map canvas.
- Explore the Data:
- Zoom in and out of the map canvas using the zoom tools to see the points more clearly.
- Click on individual points to view their attributes, such as tree species, height, or age.
- Perform Basic Analysis:
- Calculate the total number of trees:
- Right-click on the layer in the “Layers” panel and select “Open Attribute Table.”
- Look for a column that represents the number of trees or the unique identifier for each tree.
- Note the total count of records in the table.
- Measure distances between points:
- Click on the “Measure Line” tool in the toolbar.
- Click on two points on the map to measure the distance between them.
- Calculate the total number of trees:
- Create a Basic Map:
- Customize the symbology of the points:
- Right-click on the layer in the “Layers” panel and select “Properties.”
- In the “Symbology” tab, choose a different color or size for the points.
- Add a basemap:
- Click on the “XYZ Tiles” button in the browser panel.
- Choose a basemap provider, such as OpenStreetMap or Google Maps.
- Drag and drop the basemap layer onto the map canvas.
- Customize the symbology of the points:
- Export or Save Your Work:
- Save your project file:
- Go to “Project” > “Save” to save your current project.
- Choose a location on your computer to save the project file.
- Export the map as an image:
- Go to “Project” > “Import/Export” > “Export Map to Image.”
- Choose the desired settings, such as image format and resolution.
- Click “Save” to export the map as an image file.
- Save your project file:
Additional Tips:
- QGIS provides extensive documentation and tutorials on their official website. Visit QGIS Tutorials and Documentation for more resources.
- Explore other basic analysis tools in QGIS, such as buffering around points or creating thematic maps based on attributes.
- Join online GIS communities and forums to connect with other users, ask questions, and learn from their experiences.
summary
So hopefully you found that helpful! Any feedback is always appreciated and I will be continually updating this site to provide more information and resources.
Happy GIS’ing!




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