2022 QUARTER 01

A B C D E F G H I J K L M N O P R S T U V W
FC-02 - Epistemology

Epistemology is the lens through which we view reality. Different epistemologies interpret the earth and patterns on its surface differently. In effect, epistemology is a belief system about the nature of reality that, in turn, structures our interpretation of the world. Common epistemologies in GIScience include (but are not limited by) positivism and realism. However, many researchers are in effect pragmatists in that they choose the filter that best supports their work and a priori hypotheses. Different epistemologies – or ways of knowing and studying geography – result in different ontologies or classification systems. By understanding the role of epistemology, we can better understand different ways of representing the same phenomena.

FC-25 - Error
  • Compare and contrast how systematic errors and random errors affect measurement of distance
  • Describe the causes of at least five different types of errors (e.g., positional, attribute, temporal, logical inconsistency, and incompleteness)
AM-106 - Error-based Uncertainty

The largest contributing factor to spatial data uncertainty is error. Error is defined as the departure of a measure from its true value. Uncertainty results from: (1) a lack of knowledge of the extent and of the expression of errors and  (2) their propagation through analyses. Understanding error and its sources is key to addressing error-based uncertainty in geospatial practice. This entry presents a sample of issues related to error and error based uncertainty in spatial data. These consist of (1) types of error in spatial data, (2) the special case of scale and its relationship to error and (3) approaches to quantifying error in spatial data.

CP-26 - eScience, the Evolution of Science

Science—and research more broadly—face many challenges as its practitioners struggle to accommodate new challenges around reproducibility and openness.  The current practice of science limits access to knowledge, information and infrastructure, which in turn leads to inefficiencies, frustrations and a lack of rigor.  Many useful research outcomes are never used because they are too difficult to find, or to access, or to understand.

New computational methods and infrastructure provide opportunities to reconceptualize how science is conducted, how it is shared, how it is evaluated and how it is reused.  And new data sources changed what can be known, and how well, and how frequently.  This article describes some of the major themes of eScience/eResearch aimed at improving the process of doing science.

GS-12 - Ethics for Certified Geospatial Professionals

This entry discusses ethics for certified geospatial professional, focusing on the Codes of Ethics for the American Society for Photogrammetry and Remote Sensing (ASPRS) and the GIS Certification Institute (GISCI). The entry begins by defining and discussing ethics, while providing some history of the evolution of ethics in the GIS community. It then compares and contrasts the ethical guidelines of GISCI and ASPRS, including sanctions that may be imposed upon individuals who have violated their codes of ethics. The entry concludes with a discussion of how certified professionals may address situations in which their codes of ethics may conflict with their employers’ proprietary interests.

FC-36 - Events and Processes
  • Compare and contrast the concepts of continuants (entities) and occurrents (events)
  • Describe the “actor” role that entities and fields play in events and processes
  • Discuss the difficulty of integrating process models into GIS software based on the entity and field views, and methods used to do so
  • Apply or develop formal systems for describing continuous spatio-temporal processes
  • Evaluate the assertion that “events and processes are the same thing, but viewed at different temporal scales”
  • Describe particular events or processes in terms of identity, categories, attributes, and locations
  • Compare and contrast the concepts of event and process
AM-19 - Exploratory data analysis (EDA)
  • Describe the statistical characteristics of a set of spatial data using a variety of graphs and plots (including scatterplots, histograms, boxplots, q–q plots)
  • Select the appropriate statistical methods for the analysis of given spatial datasets by first exploring them using graphic methods
DC-22 - Federal agencies and national and international organizations and programs
  • Describe the data programs provided by organizations such as The National Map, GeoSpatial One Stop, and National Integrated Land System
  • Discuss the mission, history, constituencies, and activities of international organizations such as Association of Geographic Information Laboratories for Europe (AGILE) and the European GIS Education Seminar (EUGISES)
  • Discuss the mission, history, constituencies, and activities of governmental entities such as the Bureau of Land Management (BLM), United States Geological Survey (USGS) and the Environmental Protection Agency (EPA) as they related to support of professionals and organizations
  • involved in GIS&T
  • Discuss the mission, history, constituencies, and activities of GeoSpatial One Stop
  • Discuss the mission, history, constituencies, and activities of the Open Geospatial Consortium (OGC), Inc.
  • Discuss the mission, history, constituencies, and activities of the Nation Integrated Land System (NILS)
  • Discuss the mission, history, constituencies, and activities of the Federal Geographic Data Committee (FGDC)
  • Discuss the mission, history, constituencies, and activities of the National Academies of Science Mapping Science Committee
  • Discuss the mission, history, constituencies, and activities of the USGS and its National Map vision
  • Discuss the mission, history, constituencies, and activities of University Consortium of Geographic Information Science (UCGIS) and the National Center for Geographic Information and Analysis (NCGIA)
  • Discuss the political, cultural, economic, and geographic characteristics of various countries that influence their adoption and use of GIS&T
  • Identify National Science Foundation (NSF) programs that support GIS&T research and education
  • Outline the principle concepts and goals of the “digital earth” vision articulated in 1998 by Vice President Al Gore
  • Assess the current status of Gore’s “digital earth”
GS-15 - Feminist Critiques of GIS

Feminist interactions with GIS started in the 1990s in the form of strong critiques against GIS inspired by feminist and postpositivist theories. Those critiques mainly highlighted a supposed epistemological dissonance between GIS and feminist scholarship. GIS was accused of being shaped by positivist and masculinist epistemologies, especially due to its emphasis on vision as the principal way of knowing. In addition, feminist critiques claimed that GIS was largely incompatible with positionality and reflexivity, two core concepts of feminist theory. Feminist critiques of GIS also discussed power issues embedded in GIS practices, including the predominance of men in the early days of the GIS industry and the development of GIS practices for the military and surveillance purposes.

At the beginning of the 21st century, feminist geographers reexamined those critiques and argued against an inherent epistemological incompatibility between GIS methods and feminist scholarship. They advocated for a reappropriation of GIS by feminist scholars in the form of critical feminist GIS practices. The critical GIS perspective promotes an unorthodox, reconstructed, and emancipatory set of GIS practices by critiquing dominant approaches of knowledge production, implementing GIS in critically informed progressive social research, and developing postpositivist techniques of GIS. Inspired by those debates, feminist scholars did reclaim GIS and effectively developed feminist GIS practices.

DC-09 - Field data technologies
  • Identify the measurement framework that applies to moving object tracking
  • Explain the advantage of real-time kinematic GPS in field data collection
  • Describe an application of hand-held computing or personal digital assistants (PDAs) for field data collection
  • Considering the measurement framework applied to moving object tracking, identify which of the dimensions of location, attribute, and time is fixed, which is controlled, and which is measured
  • Describe a real or hypothetical application of a sensor network in field data collection
  • Outline a combination of positioning techniques that can be used to support location-based services in a given environment

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