2020 QUARTER 02

A B C D E F G H I K L M N O P R S T U V W

FC-01 - Metaphysics and ontology

Define common theories on what is “real,” such as realism, idealism, relativism, and experiential realism
Compare and contrast the ability of different theories to explain various situations
Recognize the commonalities of philosophical viewpoints and appreciate differences to enable work with diverse colleagues
Evaluate the influences of particular worldviews (including one’s own) on GIS practices
Justify the metaphysical theories with which you agree
Identify the ontological assumptions underlying the work of colleagues

AM-82 - Microsimulation and calibration of agent activities

Describe a “bottom-up” simulation from an activity-perspective with changes in the locations and/or activities the individual person (and/or vehicle) in space and time, in the activity patterns and space-time trajectories created by these activity patterns, and in the consequent emergent phenomena, such as traffic jams and land-use patterns
Describe how various parameters in an agent-based model can be modified to evaluate the range of behaviors possible with a model specification
Describe how measurements on the output of a model can be used to describe model behavior

DC-15 - Mission planning

Plan an aerial imagery mission in response to a given request for proposals and map of a study area, taking into consideration vertical and horizontal control, atmospheric conditions, time of year, and time of day

Mobile devices refer to a computing system intended to be used by hand, such as smartphones or tablet computers. Mobile devices more broadly refer to mobile sensors and other hardware that has been made for relatively easy transportability, including wearable fitness trackers. Mobile devices are particularly relevant to Geographic Information Systems and Technology (GIS&T) in that they house multiple locational sensors that were until recently very expensive and only accessible to highly trained professionals. Now, mobile devices serve an important role in computing platform infrastructure and are key tools for collecting information and disseminating information to, from, and among heterogeneous and spatially dispersed audiences and devices. Due to the miniaturization and the decrease in the cost of computing capabilities, there has been widespread social uptake of mobile devices, making them ubiquitous. Mobile devices are embedded in Geographic Information Science (GIScience) meaning GIScience is increasingly permeating lived experiences and influencing social norms through the use of mobile devices. In this entry, locational sensors are described, with computational considerations specifically for mobile computing. Mobile app development is described in terms of key considerations for native versus cross-platform development. Finally, mobile devices are contextualized within computational infrastructure, addressing backend and frontend considerations.

CV-40 - Mobile Maps and Responsive Design

Geographic information increasingly is produced and consumed on mobile devices. The rise of mobile mapping is challenging traditional design conventions in research, industry, and education, and cartographers and GIScientists now need to accommodate this mobile context. This entry introduces emerging design considerations for mobile maps. First, the technical enablements and constraints that make mobile devices unique are described, including Global Positioning System (GPS) receivers and other sensors, reduced screensize and resolution, reduced processing power and memory capacity, less reliable data connectivity, reduced bandwidth, and physical mobility through variable environmental conditions. Scholarly influences on mobile mapping also are reviewed, including location-based services, adaptive cartography, volunteered geographic information, and locational privacy. Next, two strategies for creating mobile maps are introduced—mobile apps installed onto mobile operating systems versus responsive web maps that work on mobile and nonmobile devices—and core concepts of responsive web design are reviewed, including fluid grids, media queries, breakpoints, and frameworks. Finally, emerging design recommendations for mobile maps are summarized, with representation design adaptations needed to account for reduced screensizes and bandwidth and interaction design adaptations needed to account for multi-touch interaction and post-WIMP interfaces.

DM-21 - Modeling three-dimensional (3-D) entities

Identify GIS application domains in which true 3-D models of natural phenomena are necessary
Illustrate the use of Virtual Reality Modeling Language (VRML) to model landscapes in 3-D
Explain how octatrees are the 3-D extension of quadtrees
Explain how voxels and stack-unit maps that show the topography of a series of geologic layers might be considered 3-D extensions of field and vector representations respectively
Explain how 3-D models can be extended to additional dimensions
Explain the use of multi-patching to represent 3-D objects
Explain the difficulties in creating true 3-D objects in a vector or raster format
Differentiate between 21/2-D representations and true 3-D models

DM-19 - Modeling uncertainty

Differentiate among modeling uncertainty for entire datasets, for features, and for individual data values
Describe SQL extensions for querying uncertainty information in databases
Describe extensions to relational DBMS to represent different types of uncertainty in attributes, including both vagueness/fuzziness and error-based uncertainty
Discuss the role of metadata in representing and communicating dataset-level uncertainty
Create a GIS database that models uncertain information
Identify whether it is important to represent uncertainty in a particular GIS application
Describe the architecture of data models (both field- and object-based) to represent feature-level and datum-level uncertainty
Evaluate the advantages and disadvantages of existing uncertainty models based on storage efficiency, query performance, ease of data entry, and ability to implement in existing software

AM-44 - Modelling Accessibility

Modelling accessibility involves combining ideas about destinations, distance, time, and impedances to measure the relative difficulty an individual or aggregate region faces when attempting to reach a facility, service, or resource. In its simplest form, modelling accessibility is about quantifying movement opportunity. Crucial to modelling accessibility is the calculation of the distance, time, or cost distance between two (or more) locations, which is an operation that geographic information systems (GIS) have been designed to accomplish. Measures and models of accessibility thus draw heavily on the algorithms embedded in a GIS and represent one of the key applied areas of GIS&T.

AM-13 - Multi-criteria evaluation

Describe the implementation of an ordered weighting scheme in a multiple-criteria aggregation
Compare and contrast the terms multi-criteria evaluation, weighted linear combination, and site suitability analysis
Differentiate between contributing factors and constraints in a multi-criteria application
Explain the legacy of multi-criteria evaluation in relation to cartographic modeling
Determine which method to use to combine criteria (e.g., linear, multiplication)
Create initial weights using the analytical hierarchy process (AHP)
Calibrate a linear combination model by adjusting weights using a test data set

KE-34 - Multi-Organizational GIS Coordination

For many years, collaboration has been a key cornerstone in the success of efforts achieved by the geospatial community. When paired with governance, collaborative efforts often lead to sustainability and have the effect of broadening the benefits that can be achieved. The following text shares how the geospatial community uses collaboration and governance as tools to achieve benefits across the community. Case studies are provided to illustrate the process and the outcomes achieved.