“Geovisualization integrates approaches from visualization in scientific computing (ViSC), cartography, image analysis, information visualization, exploratory data analysis (EDA), and geographic information systems (GISystems) to provide theory, methods, and tools for visual exploration, analysis, synthesis, and presentation of geospatial data”

any data having geospatial referencing
Source: Research challenges in geovisualization (2001), p. 3

Adopted from Wikiquote. Last update June 3, 2021. History

Help us to complete the source, original and additional information

Do you have more details about the quote "Geovisualization integrates approaches from visualization in scientific computing (ViSC), cartography, image analysis, …" by Alan MacEachren?

Alan MacEachren23

American geographer 1952

John Zachman (1934) American computer scientist

Source: Business Systems Planning and Business Information Control Study: A comparison, 1982, p. 31

“Many pressing problems facing science and society are inherently geospatial – location matters. The availability of essential geospatial data has increased dramatically over the past decade. Both scientific progress and application of geospatial information to societal needs remains hampered, however, due to the lack of methods for transforming these data into information and for combining information from diverse sources to construct knowledge. Progress requires fundamental breakthroughs in both geovisualization and its integration with other methods for geospatial knowledge construction. The research agenda delineated in this issue is a step toward achieving these breakthroughs. Identifying the challenges is the easy part. Meeting them is unlikely without a commitment to a coordinated approach, by both individuals and organizations in multiple countries.”

Alan MacEachren (1952) American geographer

Source: Research challenges in geovisualization (2001), p. 12. summary

“Cartography as a discipline has a significant stake in the evolving role of maps within systems for scientific visualization, within spatial decision support systems, within hypermedia information access systems, and within virtual reality environments.”

Alan MacEachren (1952) American geographer

Source: Exploratory cartographic visualization: advancing the agenda (1997), p. 1

“[The special properties of visual perception of data]… is the visual means of resolving logical problems.”

Jacques Bertin (1918–2010) French geographer and cartographer

Source: Graphics and graphic information processing (1981), p. 16 as cited in: Riccardo Mazza (2004) Introduction to Information Visualisation http://www.dti.supsi.ch/~mazza/infovis_introduction.pdf

“My style was to absorb all the data I could to make the best-informed decision possible, sometimes to the point of over-analysis.”

Paul Allen (1953–2018) American inventor, investor and philanthropist

Idea Man (2012)

“Analysis and synthesis, though commonly treated as two different methods, are, if properly understood, only the two necessary parts of the same method. Each is the relative and correlative of the other. Analysis, without a subsequent synthesis, is incomplete; it is a mean cut of from its end. Synthesis, without a previous analysis, is baseless; for synthesis receives from analysis the elements which it recomposes.”

Sir William Hamilton, 9th Baronet (1788–1856) Scottish metaphysician (1788–1856)

Lectures on Metaphysics and Logic: "6th Lecture on Metaphysics", p. 69, ed. 1871, Boston; partly reported in Austin Allibone ed. Prose Quotations from Socrates to Macaulay. (1903), p. 34

“Whether computers are used for engineering design, medical data processing, composing music, or other purposes, the structure of computing is much the same. We are extremely short of talented people in this field, and so we need departments, curricula, and research and degree programs in computer science… I think of the Computer Science Department as eventually including experts in Programming, Numerical Analysis, Automata Theory, Data Processing, Business Games, Adaptive Systems, Information Theory, Information Retrieval, Recursive Function Theory, Computer Linguistics, etc., as these fields emerge in structure… Universities must respond [to the computer revolution] with far reaching changes in the educational structure.”

George Forsythe (1917–1972) Stanford University computer scientist

As cited in Donald Knuth (1972). "George Forsythe and the Development of Computer Science" http://www.stanford.edu/dept/ICME/docs/history/forsythe_knuth.pdf. Comms. ACM. <br class="br">"Educational implications of the computer revolution," 1963

“It is common to think of statistical graphics and data visualization as relatively modern developments in statistics. In fact, the graphic representation of quantitative information has deep roots. These roots reach into the histories of the earliest map-making and visual depiction, and later into thematic cartography, statistics and statistical graphics, medicine, and other fields. Along the way, developments in technologies (printing, reproduction) mathematical theory and practice, and empirical observation and recording, enabled the wider use of graphics and new advances in form and content.”

Michael Friendly (1945) American psychologist

Michael Friendly. " A brief history of data visualization http://www.datavis.ca/papers/hbook.pdf at datavis.ca, March 21, 2006.

“The raw data or information collected for studies using thematic analysis is a person's own words or actions or observable aspects of his or her life in an organization or culture.”

Richard Boyatzis (1946) American business theorist

Source: Transforming qualitative information (1998), p. xii.

“Every decade or so, the business world invents another term for how it extracts managerial and decision-making value from computerized data. In the 1970s the favored term was “decision support systems,” accurately reflecting the importance of a decision-centered approach to data analysis. In the early 80s, “executive information systems” was the preferred nomenclature, which addressed the use of these systems by senior managers. Later in that decade, emphasis shifted to the more technical-sounding “online analytical processing,” or OLAP. The 90s saw the rise of “business intelligence” as a descriptor. In the middle of 2000’s first decade, “analytics” began to come into favor, at least for the more statistical and mathematical forms of data analysis.”

Thomas H. Davenport (1954) American academic

Thomas H. Davenport. The New World of “Business Analytics”. International Institute for Analytics. March 2010

Help us to complete the source, original and additional information

Alan MacEachren23

Related quotes

Related topics