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GS-24 - Citizen Science with GIS&T

Figure 1. Participant in a BioBlitz records bird observation (Source: Jo Somerfield)

 

Citizen Science is defined as the participation of non-professional volunteers in scientific projects (Dickson et al, 2010) and has experienced rapid growth over the past decade. The projects that are emerging in this area range from contributory projects, co-created projects, collegiate projects, which are initiated and run by a group of people with shared interest, without any involvement of professional scientists.  

In many citizen science projects, GIS&T is enabling the collection, analysis, and visualisation of spatial data to affect decision-making. Some examples may include:

  • Recording the location of invasive species or participating in a BioBlitz to record local biodiversity (Figure 1).
  • Measuring air quality or noise over a large area and over time to monitor local conditions and address them
  • Using tools to educate on and increase access to local resources,  improving community resilience

Such projects have the opportunity to empower or disempower members of the public, depending upon access to and understanding of technology. Citizen Science projects using GIS&T may help communities influence decision makers and support the gathering of large-scale scientific evidence on a range of issues. This may also renew people’s interests in the sciences and foster continued and lifelong learning. 

 

DM-14 - Classic vector data models
  • Illustrate the GBF/DIME data model
  • Describe a Freeman-Huffman chain code
  • Describe the relationship of Freeman-Huffman chain codes to the raster model
  • Discuss the impact of early prototype data models (e.g., POLYVRT and GBF/DIME) on contemporary vector formats
  • Describe the relationship between the GBF/DIME and TIGER structures, the rationale for their design, and their intended primary uses, paying particular attention to the role of graph theory in establishing the difference between GBF/DIME and TIGER files
  • Discuss the advantages and disadvantages of POLYVRT
  • Explain what makes POLYVRT a hierarchical vector data model
AM-09 - Cluster analysis
  • Identify several cluster detection techniques and discuss their limitations
  • Demonstrate the extension of spatial clustering to deal with clustering in space-time using the Know and Mantel tests
  • Perform a cluster detection analysis to detect “hot spots” in a point pattern
  • Discuss the characteristics of the various cluster detection techniques
GS-12 - Codes of ethics for geospatial professionals
  • Compare and contrast the ethical guidelines promoted by the GIS Certification Institute (GISCI) and the American Society for Photogrammetry and Remote Sensing (ASPRS)
  • Propose a resolution to a conflict between an obligation in the GIS Code of Ethics and organizations’ proprietary interests
  • Explain how one or more obligations in the GIS Code of Ethics may conflict with organizations’ proprietary interests
  • Describe the sanctions imposed by ASPRS and GISCI on individuals whose professional actions violate the codes of ethics
CV-09 - Color Theory
  • List the range of factors that should be considered in selecting colors
  • Discuss the role of “gamut” in choosing colors that can be reproduced on various devices and media
  • Explain how real-world connotations (e.g., blue=water, white=snow) can be used to determine color selections on maps
  • Exemplify colors for different forms of harmony, concordance, and balance
  • Estimate RGB (red, green, blue) primary amounts in a selection of colors
  • Plan color proofing suited for checking a map publication job
  • Select colors appropriate for map readers with color limitations
  • Specify a set of colors in device-independent Commision Internationale de L’Eclairage (CIE) specifications
  • Determine the CMYK (cyan, magenta, yellow, and black) primary amounts in a selection of colors
  • Select a color scheme (e.g., qualitative, sequential, diverging, spectral) that is appropriate for a given map purpose and variable
  • Describe how cultural differences with respect to color associations impact map design
  • Describe the common color models used in mapping
  • Describe color decisions made for various production workflows
CV-11 - Common Thematic Map Types
  • Describe the design considerations for each of the following methods: choropleth, dasymetric, proportioned symbol, graduated symbol, isoline, dot, cartogram, and flow map
  • Evaluate the strengths and limitations of each of the following methods: choropleth, dasymetric, proportioned symbol, graduated symbol, isoline, dot, cartogram, and flow map
  • Explain why choropleth maps should (almost) never be used for mapping count data and suggest alternative methods for mapping count data
  • Choose suitable mapping methods for each attribute of a given type of feature in a GIS (e.g., roads with various attributes such as surface type, traffic flow, number of lanes, direction such as one-way)
  • Select base information suited to providing a frame of reference for thematic map symbols (e.g., network of major roads and state boundaries underlying national population map)
  • Create maps using each of the following methods: choropleth, dasymetric, proportioned symbol, graduated symbol, isoline, dot, cartogram, and flow
  • Create well-designed legends using the appropriate conventions for the following methods: choropleth, dasymetric, proportioned symbol, graduated symbol, isoline, dot, cartogram, and flow
GS-17 - Common-sense geographies
  • Identify common-sense views of geographic phenomena that sharply contrast with established theories and technologies of geographic information
  • Differentiate applications that can make use of common-sense principles of geography from those that should not
  • Collaborate with non-GIS experts who use GIS to design applications that match commonsense understanding to an appropriate degree
  • Effectively communicate the design, procedures, and results of GIS projects to non-GIS audiences (clients, managers, general public)
  • Evaluate the impact of geospatial technologies (e.g., Google Earth) that allow non-geospatial professionals to create, distribute, and map geographic information
AM-50 - Components of models: data, structures, procedures
  • Differentiate the three major parts of a model
  • Describe the mapping from components of the world (and conceptualizations of them) to the components of a model
  • Explain the importance of context in effectively using models
  • Identify the composition of existing models
AM-90 - Computational Movement Analysis

Figure 1. Group movement patterns as illustrated in this coordinated escape behavior of a group of mountain goat (Rubicapra rubicapra) evading approaching hikers on the Fuorcla Trupchun near the Italian/Swiss border are at the core of computational movement analysis. Once the trajectories of moving objects are collected and made accessible for computational processing, CMA aims at a better understanding of the characteristics of movement processes of animals, people or things in geographic space.
 
Computational Movement Analysis (CMA) develops and applies analytical computational tools aiming at a better understanding of movement data. CMA copes with the rapidly growing data streams capturing the mobility of people, animals, and things roaming geographic spaces. CMA studies how movement can be represented, modeled, and analyzed in GIS&T. The CMA toolbox includes a wide variety of approaches, ranging from database research, over computational geometry to data mining and visual analytics.

PD-04 - Computer-Aided Software Engineering (CASE) tools
  • Use CASE tools to design geospatial software
  • Evaluate available CASE tools for their appropriateness for a given development task

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