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GISystem
A platform for storing, managing, analysing and visualising spatial data
GIScience
The discipline/field of using spatial data analysis and visualisation techniques to solve problems
GeoSpatial science
Measurement, management, analysis and presentation of spatial data in order to understand processes in the natural and built environments
Vector
Points, lines and polygons that capture discrete geographic features
Raster
Grids and images capturing continuous phenomenon
AI
Built by people and trained on data made by us, they are bias but can be useful
Geospatial professionals responsibility is to
Use the appropriate tools for the job, access uncertainty and encourage appropriate use of the spatial analysis results
What are the two types of spatial data sources
Primary and Secondary
what drives spatial data requirements in GIS?
The GIS question and project goal
What are examples of secondary data sources
Scanned maps, digitised hard copy maps, converted data
what are examples of primary data collection
Raster: Remote sensing, aerial/satellite imagery
What should be considered when evaluating data usability?
Source reliability, metadata, scale, format, resolution, and if it is 'fit for purpose'
Crowd sources
Communally created mapping features
Remote sensing
Measuring the properties of objects without direct contact
Rasterization
Converting vector data to raster data - from points/lines/polygons to grid cells
What are the 3 Vs of Big data?
Volume, Velocity, Variety
What ethical challenges are associated with Big data?
Privacy, consent, bias, surveillance, data misuse
What is open data?
Data that is free to use, reuse, and distribute, with minimal restrictions
Potential issues with metadata
Lack of metadata, low data quality, not user-friendly formats and costs in preparing/maintaining the data
What is VGI (Volunteered Geographic information)?
Spatial data contributed voluntarily by individuals
Unethical GIS use
Lying with maps, surveillance, war planning, data misrepresentation or omission, not citing sources
Gerrymandering
The manipulation of boundaries to favour one party or class
What is metadata and data management?
Data about data (how, when, where, and by whom the dataset was collected)
Why is metadata important in GIS?
Enables discovery, interpretation, sharing, and evaluation of spatial data
What are the main types of metadata?
Descriptive: content-related, Structural: Data format and layout, Administrative: Technical info
What are common metadata standards?
Dublin Core, ANZLIC (AUS/NZ), ISO 19115, ASCII, OGC
What is an SDI (Spatial data infrastructure)?
A framework for accessing, sharing, and managing spatial data across organisations
What is the role of file naming conventions?
Makes data easier to find, identify, and manage
What are common GIS file formats?
Shapefiles (.shp), KML (Keyhole Markup Language), ArcGIS Geodatabase, Web mapping services (WMS/WMTS/WFS)
What is ANZLIC's goal?
To promote consistent, accessible metadata and spatial data use in NZ/AUS
What is Neogeography?
The creation of non-traditional geographic products using techniques and tools outside of traditional GIS
What are location-Based Services (LBS)?
Information services provided by a device that knows its location and modifies the information it provides based on knowledge
What is Mobile GIS?
GIS used on mobile devices, enabled by wireless communication, sensors, and compact hardware
Web GIS
Visualising, querying, and accessing mapping elements online, often via distributed networks and multi-user databases
What is distribution GIS?
GIS components (Hardware, Software, Data, Users, Procedures, Network) located in different places, allowing for scalability and up-to-date data
What are GI (Geographic information) services?
Remote GIS functions provided by servers, such as routing, weather, and elevation data, accessible via the internet
What are the main OGC web service standards?
Web Map Services (WMS), Web Feature Service (WFS), Web Coverage Service (WCS), and Web Map Tile Service (WMTS)
What is SOA in GIS?
Service Oriented Architecture - provides opposite GIS services by requesting and combining data from multiple sources
What is Virtual Reality (VR) in GIS?
Immersive 3D environments where data replaces senses, allowing remote inspection and measurement
What is Augmented Reality (AR) in GIS?
Overlaying digital information onto the real world, via devices like AR glasses
Name some issues with mobile GIS
Battery life, WiFi issues, security concerns, limited spatial/temporal coverage, and potential reduction in spatial memory due to reliance on GPS
What is cartography?
The art, science, and technology of making maps
What is the map design process?
Involves context, audience, type of map, scale, projection, message, and available resources
What is map composition?
The arrangement of map elements for clarity, visual balance, and effective communication
What is visual balance in map design?
Harmonious arrangement of map elements so that none overpower others, achieved through size, value, and placement
What is the figure-ground phenomenon?
Perception organises the map into clear focus entities and backgrounds
What techniques improve map composition?
Closure, vignetting, line contrast, texture/value contrast, and provision of detail
What is map symbology?
The use of graphical elements to represent geographic features on a map
What are Bertin's cartographic variables?
Size, value, texture, colour, orientation, and shape
What is generalisation in cartography?
Simplifying features to maintain clarity at smaller scales, using techniques like simplification, displacement, aggregation, and smoothing
How do you select symbology for thematic maps?
Based on the type of data and the message you want to communicate
What are the 2 types of generalisation?
Semantic (conceptual) and geometric
What does the Douglas-Peucker algorithm do?
Simplifies lines by reducing the number of points while retaining shape
Define Typification
Representing the character of a feature without exact detail
Displacement in map generalisation
Moving features to prevent overlap and improve legibility while maintaining topology
What is the purpose of smoothing in maps?
To reduce angularity in lines for aesthetic and readability reasons
What is amalgamation/combination?
Merging multiple features into one to reduce clutter and improve clarity
What is reduction in generalisation?
Simplifying line or shape complexity while retaining overall form
What is collapse/exaggeration in mapping?
Converting features to simpler forms or enlarging them for visibility
What is roughening used for?
Enhancing natural feature realism using fractal geometry
What is a thematic map?
A map that emphasises the spatial distribution of a single variable
Name the types of thematic Maps.
Dot map, Proportional symbol, Flow map, Choropleth, Cartogram, Isarithmic map
Choropleth map
Standardised areal data like rates or proportions
Cartogram
Area is resized to reflect a variable, not geographic size
Isarithmic map
It uses continuous lines to represent 3D data volumes, such as elevation or pollution
Flow map
Showing movement like migration or traffic, often with directional arrows
Proportional symbol map
Symbols are sized proportionally to the data value at each location
Dot map
Showing incidence and density; dots represent a certain quality and are spatially placed
Geo-referencing properties
Unique, Shared meaning, Persistent through time
Geographic vs Projected coordinate system
Geographic uses latitude/longitude; Projected uses systems like UTM/TM for flat map representations
Geocoding
It's a process of converting addresses into geographic coordinates
Prime Meridian establishment
Chosen during the 1884 International Meridian Conference to standardise global time and navigation
Graticules
A network of latitude and longitude lines on maps
DMS to decimal degrees conversion
DD= degrees+(minutes/60)+(seconds/3600)
Great Circle Route
The shortest distance between two points on a sphere
Scilly Isles naval disaster significance
It highlighted the critical need for accurate longitude measurement
Universal Transverse Mercator (UTM)
A projected coordinate system dividing the world into 60 zones, each 6 degrees of longitude wide, with metric coordinates
Conical and Cartesian projections
For converting spherical surface features onto a 2D pane using geometric grids suited to the maps purpose
What is the shape of the Earth approximated as in GIS?
An oblate spheroid (Ellipsoid)
What is a geodetic datum?
A combination of an ellipsoid, original, and coordinate system used to approximate earth
Why is Web Mercator used in Web GIS?
For fast tile rendering and shape preservation at large scales
What are EPSG codes
Standardised identifiers for coordinate reference systems, projections, and geodetic parameters
What are the current and old NZ projections?
Current: NZTM; Old: NZMG
What is georeferencing?
The process of associating geographic data with specific locations on earth
What is an ellipsoid?
A smooth mathematical surface approximating earths shape
What is a geoid?
A more complex model that accounts for earths gravity to define mean sea level
What are the 4 classes of map projection distortion?
Shape (Conformal) Area (equal-area) Distance (equidistant) Direction (azimuthal)
What are some challenges with georeferencing natural features?
Boundaries may be vague, discontinuous, or vary by interpretation
What are the steps to building a geo-referencing system?
Approximate surface model -> map projection -> coordinate system
What is the difference between local and global datums?
Local datums are optimised for specific areas; global datums are for worldwide use
Why are datums important in GPS and GIS?
They ensure consistent positioning by aligning spatial data to a reference
What are data models in GIS?
Ways to represent spatial phenomena digitally in a computer
What are the two conceptual models in GIS?
Field model and object model
What does the field model represent?
Continuous variation across geographic space
What does the object model represent?
Discrete spatial features like buildings or roads
What is abstraction in GIS?
Simplifying the real world to focus on relevant details for analysis
What are the issues with non-topological vector data?
Redundant boundaries, difficult integrity checking, and lack of spatial relationship encoding
What is a topological data model?
A vector model that stores spatial relationships explicitly
What is the 'spaghetti' model?
A non-topological format where features may cross or overlap without defined relationships
What is a data format in GIS?
The way spatial data are stored, accessed, analysed, and visualised