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Thematic map

From Wikipedia, the free encyclopedia
Type of map that visualizes data
For broader coverage of this topic, seeMap.
Minard's 1869flow map of Napoleon'sinvasion of Russia in 1812–1813. A very innovative thematic map from the 19th century.
Isarithmic map of minimum temperature used as planthardiness zones.

Athematic map is a type ofmap that portrays the geographic pattern of a particular subject matter (theme) in a geographic area. This usually involves the use ofmap symbols tovisualize selected properties of geographic features that are not naturally visible, such as temperature, language, or population.[1] In this, they contrast with general reference maps, which focus on the location (more than the properties) of a diverse set of physical features, such as rivers, roads, and buildings.[2][3] Alternative names have been suggested for this class, such asspecial-subject orspecial-purpose maps,statistical maps, ordistribution maps, but these have generally fallen out of common usage.[4][5] Thematic mapping is closely allied with the field ofGeovisualization.

Several types of thematic maps have been invented, starting in the 18th and 19th centuries, as large amounts of statistical data began to be collected and published, such asnational censuses. These types, such aschoropleth maps,isarithmic maps, andchorochromatic maps, use very different strategies for representing the location and attributes of geographic phenomena, such that each is preferable for different forms of phenomena and different forms of available data. A wide variety of phenomena and data can thus be visualized using thematic maps, including those from the natural world (e.g.,climate,soils) and the human world (e.g.,demographics,public health)

History

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Edmond Halley'sNew and Correct Chart Showing the Variations of the Compass (1701), the first chart to show lines of equalmagnetic variation.

According toArthur Robinson, thematic maps were largely anIndustrial Age innovation, with someEnlightenment-era roots; almost all of the modern graphical techniques were invented between 1700 and 1850.[6]: 26  Prior to this, the most important cartographic development was the production of accurate general base maps. Their accuracy improved slowly, and even in the mid-17th century, they were usually of poor quality; but they were good enough to display basic information, allowing the production of the first thematic maps.

One of the earliest thematic maps was one entitledDesignatio orbis christiani (1607) byJodocus Hondius, showing the dispersion of major religions usingmap symbols, in the French edition of hisAtlas Minor (1607).[7] This was soon followed by a thematic globe (in the form of a six-gore map) showing the same subject, using Hondius' symbols, byFranciscus Haraeus, entitledNovus typus orbis ipsus globus, ex Analemmate Ptolomaei diductus (1614)[8]

An early contributor to thematic mapping in England was the English astronomerEdmond Halley (1656–1742), who introduced the Enlightenment conception of the thematic map as a tool for scientific thinking.[6]: 42  His first significant cartographic contribution was astar chart of the constellations of the Southern Hemisphere, made during his stay onSt. Helena and published in 1686. In that same year he also published his first terrestrial map in an article about trade winds, and this map is called the firstmeteorological chart.[9] In 1701 he published the "New and Correct Chart Shewing the Variations of the Compass", see first image, the first chart to show lines of equalmagnetic variation and possibly the firstisarithmic map. Earlychorochromatic (nominal area-class) maps also appeared in the late 18th century as scientific instruments for exploring geographic phenomena such asgeology andlanguage.[6]: 52 

The early to middle 19th century could be considered, as Robinson called it, a "golden age" of thematic mapping, when many of the current techniques were invented or further developed.[10] For example, the earliest knownchoropleth map was created in 1826 byCharles Dupin. Based on this workLouis-Léger Vauthier (1815–1901) developed the populationcontour map, a map that shows thepopulation density of Paris in 1874 byisolines.[11]

One of the most influential early works of thematic cartography was a small booklet of five maps produced in 1837 by Henry Drury Harness as part of a government report on the potential for construction of railroads in Ireland.[10][12] Included were earlychorochromatic andflow maps, and possibly the firstproportional point symbol anddasymetric maps.

John Snow's cholera map about the cholera deaths in London in the 1840s, published 1854.

Another example of early thematic mapping comes from London physicianJohn Snow. Though disease had been mapped thematically, Snow's cholera map in 1854 is the best-known example of using thematic maps for analysis. Essentially, his technique and methodology anticipated the principles of a geographic information system (GIS). Starting with an accurate base map of aLondon neighborhood which included streets andwater pump locations, Snow mapped out the incidence ofcholera deaths. The emerging pattern centered around one particularpump in Broad Street. At Snow's request, the handle of the pump was removed, and new cholera cases ceased almost at once. Further investigation of the area revealed that the Broad Street pump was near a cesspit under the home of the outbreak's first cholera victim.

Charles Joseph Minard has been hailed as perhaps the first master of thematic mapping andinformation visualization.[13] In the 1850s and 1860s, he integrated thematic maps (especially flow maps) with statistical charts to create visual narratives, most notably his 1869 map of Napoleon's1812 invasion of Europe.[14]

By the early 20th century, established methods were in place for manually drafting a variety of thematic maps, but they were still produced in far fewer numbers than general reference maps, and occupied a relatively small portion of cartographic education.[15] Their popularity vastly increased in the second half of the century, due to several influences: first, theQuantitative revolution in geography and the rise of cartography as an academic discipline, both of which increased the role of thematic maps as tools for scientific analysis and communication; second, technology that facilitates map design and production, especially thepersonal computer, thegeographic information system (GIS),graphics software, and theInternet; and third, the widespread availability of large volumes of data, notably the first digital releases of nationalcensuses in the 1990s.[16]: 8 

Purposes

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The most common purpose of a thematic map is to portray the geographic distribution of one or more phenomena. Sometimes this distribution is already familiar to the cartographer, who wants to communicate it to an audience, while at other times the map is created to discover previously unknown patterns (as a form ofGeovisualization).[17] Thematic maps accomplish these two goals by leveraging the natural ability of the humanvisual perception system to recognize patterns in a complex visual field, which is necessary for common tasks such asobject recognition.[18][19] A thematic map usually focuses on visualizing the distribution of values of a single property or type of feature (aunivariate map), occasionally including two (bivariate) or more (multivariate) properties or feature types that are hypothesized to be statistically correlated or otherwise closely related.[20]

By focusing on a single subject matter, the thematic map is typically intended to be used for a narrower range of tasks than a reference map. These tasks tend to fall into three types:[16]: 2 

  1. Provide specific information about particular locations. For example, "what is the Hispanic proportion of Chicago?"
  2. Provide general information about spatial patterns. For example, "where is maize grown?"
  3. Compare patterns on two or more maps. For example, "how did the vote change between the2008 and2012 U.S. presidential elections?"

Mapping methods

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Cartographers use many methods to create thematic maps. These are often referred to as different types ofthematic maps, but it is more proper to call them types ofthematic map layers orthematic mapping techniques, as they can be combined with each other (forming abivariate or multivariate map) and with one or more reference map layers in a single map. For example, a cartogram technique could be used to distort the sizes of countries proportional to one variable, with the countries being filled with colors representing a second variable using the choropleth technique.

Choropleth map of water use.

Choropleth

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Main article:Choropleth map

A choropleth map shows statistical data aggregated over predefined regions, such as countries or states, by coloring or shading these regions. For example, countries with higher rates of infant mortality might appear darker on a choropleth map.[21][22] The summary variable being mapped may benominal or quantitative, but usually represents ageographic field.Visual variables filling each region are used to represent each aggregate summary value:hue is commonly used for qualitative variables, such as predominant land use, whilelightness is most common for quantitative differences, such as population density. Choropleth maps are the most popular form of thematic map due to their intuitive nature, widespread availability of such aggregate statistical data, and GIS data for common regions.[23][24] The loss of information inherent in aggregate information can result in interpretation issues such as theEcological fallacy and theModifiable areal unit problem.[25][26][27] Choropleth maps, in almost all cases, must employ normalized or rate data (such as people per square mile, or disease cases per 100,000) to avoid creating a misleading map.[28][29] This step is often ignored, leading to potentially misleading maps.[24]

Proportional symbol map of the 2016 U.S. presidential election

Proportional point symbol

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Main article:Proportional symbol map

The proportional symbol technique uses point symbols of different sizes (height, length, area, or volume) to represent quantitative statistical values associated with different areas or locations within the map. For example, a disc may be shown at the location of each city in a map, with the area of the disc being proportional to the population of the city.[30] This type of map is useful for visualization when raw data cannot be dealt with as a ratio or proportion. Although circles are the most typical symbol because they are more compact due to their low perimeter to area ratio, studies show that it is easier for the reader to estimate the size of the symbol if it is a square or a bar.[31] Proportional symbol maps are commonly used for variables representing total counts or amounts.

Contiguous cartogram (Gastner-Newman) of the world with each country rescaled in proportion to the hectares of certifiedorganic farming[32]

Cartogram

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Main article:Cartogram

A cartogram is a map that intentionally distorts geographic space based on a given variable, usually by scaling features so their size is proportional to their value of the variable.[33] For example, the countries of the world could be scaled proportional to their population. The features being distorted may be lines (such as making the length of subway lines proportional to travel time), but most commonly it is regions that are scaled. The distorted shapes are sometimes used as a basis for additional thematic mapping techniques, such as the choropleth, and can be used to display absolute data not appropriate for choropleth maps.[16]: 355 [33]

Isarithmic map ofbarometric pressure.

Isarithmic or isoline

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Main article:Contour line

Isarithmic maps, also known ascontour maps or isoline maps, depict continuous quantitativefields (sometimes conceptualized as "statistical surfaces" by cartographers), such as precipitation or elevation by partitioning space into regions, each containing a consistent range of values of the field. The boundary of each region, anisoline, thus represents the set of locations of constant value. For example, on a topographic map, each contour line indicates an area at the listed elevation.

Geologic map of the U.S. state of Georgia.
USGS geological map ofGeorgia, an example of a chorochromatic map.

Chorochromatic or area-class

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Main article:Chorochromatic map

A chorochromatic or area-class map represents a categorical ornominal variable distributed over space (also known as a discretefield), by using different areasymbols (usually color hue) to represent regions of homogeneous value. Common examples include maps ofsurface geology,soil,vegetation,land use,city zoning, andclimate type.[34]

Dot density map showing the incidence of malaria in Africa Source: WHO (2017)

Dot

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Main article:Dot distribution map

Adot distribution map places small point symbols over a given space to indicate the distribution of a given phenomenon. The location of each dot may represent the actual location of a single instance, as in the map made byDr. Snow during the1854 Broad Street cholera outbreak, where each dot represented one death due to cholera. Alternatively, aggregate statistical data (the same used in choropleth maps) may be mapped by randomly placing dots within each aggregation region (e.g., country, state, county) to show the general density of instances; this latter form is usually called adot density map.

Flow

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Main article:Flow map
Flow map depicting US aid to Africa in 2016. Source: USAID

Flow maps are maps that use line symbols to portray movement or relationship between two or more places, such as air travel, monetary aid, or economic trade. The lines may be schematic straight lines or curves, or may represent the actual travel route. Some flow maps simply show the presence of connections, while others usevisual variables such as size (width) or color to represent the properties of each connection.

Dasymetric

[edit]
Main article:Dasymetric map

Adasymetric map is an alternative to a choropleth map. As with a choropleth map, data are collected by enumeration units. But instead of mapping the data so that the region appears uniform,ancillary information is used to estimate a more detailed distribution of the phenomenon within each enumeration unit. For example, land cover data (forest, water, grassland, urbanization) may be used to refine the distribution of county-level population density.[16]: 271 

Reference layers

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While the thematic information is the core of a thematic map, other geographic features may also be included asreference information. The primary purpose of reference information is to establish the location of the thematic information in a context understood by the map readers (i.e., to answer questions such as "where is this red region in the real world?"). Common reference layers include government administrative boundaries, roads, cities, alatitude/longitude graticule, or eventerrain. These layers play a secondary role in the use of the map, so they are usually included sparingly, andsymbolized to be low in thevisual hierarchy, but not so faded that they cannot be used.[5]: 64 

See also

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References

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  1. ^Bartz Petchenik, Barbara (April 1979). "From Place to Space: The Psychological Achievement of Thematic Mapping".Cartography and Geographic Information Science.6 (1):5–12.doi:10.1559/152304079784022763.
  2. ^Thrower, Norman J.W. (2008).Maps and Civilization: Cartography in Culture and Society (3rd ed.). University of Chicago Press. p. 95.ISBN 9780226799759.
  3. ^"Fundamentals of Mapping".icsm.gov.au. Retrieved2015-05-03.
  4. ^Dent, Borden D.; Torguson, Jeffrey S.; Hodler, Thomas W. (2009).Cartography: Thematic Map Design. McGraw-Hill. p. 7.ISBN 978-0-07-294382-5.
  5. ^abKeates, John S. (1973).Cartographic design and production. Longman. p. 59.
  6. ^abcRobinson, Arthur H. (1982).Early Thematic Mapping in the History of Cartography. University of Chicago Press.
  7. ^Van der Dussen, Jan and Kevin Wilson (1995).The History of the Idea of Europe. Routledge. p. 28.
  8. ^"Novus typus orbis ipsus globus, ex Analemmate Ptolomaei diductus 1614". Retrieved25 February 2013.
  9. ^Thrower, Norman J.W. (2008).Maps and Civilization: Cartography in Culture and Society (3rd ed.). University of Chicago Press. p. 97.ISBN 9780226799759.
  10. ^abRobinson, Arthur H. (Dec 1955)."The 1837 Maps of Henry Drury Harness".The Geographical Journal.121 (4):440–450.Bibcode:1955GeogJ.121..440R.doi:10.2307/1791753.JSTOR 1791753.
  11. ^Michael Friendly (2008)."Milestones in the history of thematic cartography, statistical graphics, and data visualization".
  12. ^Griffith, Richard John; Harness, Henry Drury (1838).Atlas to Accompany 2nd Report of the Railway Commissioners. Ireland.
  13. ^Tufte, Edward (2006).Beautiful Evidence. Graphics Press.Bibcode:2006beev.book.....T.
  14. ^Minard, Charles Joseph."Carte figurative des pertes successives en hommes de l'Armée Française dans la campagne de Russie 1812–1813".
  15. ^Raisz, Erwin (1948).General Cartography. McGraw-Hill. p. 245.
  16. ^abcdSlocum, Terry A.; McMaster, Robert B.; Kessler, Fritz C.; Howard, Hugh H. (2009).Thematic Cartography and Visualization (3rd ed.). Pearson/Prentice Hall.
  17. ^MacEachren, Alan M. (1995).How Maps Work: Representation, Visualization, and Design. Guilford Press. p. 355.ISBN 0-89862-589-0.
  18. ^Tufte, Edward R. (1983).The visual display of quantitative information. Graphics Press.
  19. ^MacEachren, Alan M.; Ganter, John H. (Summer 1990). "A Pattern Identification Approach to Cartographic Visualization".Cartographica.27 (2):64–81.doi:10.3138/M226-1337-2387-3007.
  20. ^Nelson, J. (2020).Multivariate Mapping.The Geographic Information Science & Technology Body of Knowledge (1st Quarter 2020 Edition), John P. Wilson (ed.). DOI: 10.22224/gistbok/2020.1.5
  21. ^Dent, Borden D.; Torguson, Jeffrey S.; Hodler, Thomas W. (2009).Cartography: Thematic Map Design (6th ed.). McGraw-Hill.
  22. ^Tobler, Waldo (1973)."Choropleth Maps Without Class Intervals?".Geographical Analysis.5 (3):262–265.Bibcode:1973GeoAn...5..262T.doi:10.1111/j.1538-4632.1973.tb01012.x.
  23. ^Brewer, Cynthia. A.; Pickle, L. (2002). "Evaluation of methods for classifying epidemiological data on choropleth maps in series".Annals of the Association of American Geographers.92 (4):662–681.doi:10.1111/1467-8306.00310.
  24. ^abAdams, Aaron M.; Chen, Xiang; Li, Weidong; Chuanrong, Zhang (27 July 2023)."Normalizing the pandemic: exploring the cartographic issues in state government COVID-19 dashboards".Journal of Maps.19 (5):1–9.Bibcode:2023JMaps..19Q...1A.doi:10.1080/17445647.2023.2235385.
  25. ^Piantados, Steven; Byar, David P.; Green, Sylvan B. (1988)."The Ecological Fallacy".American Journal of Epidemiology.127 (5). Retrieved27 December 2022.
  26. ^Openshaw, Stan (1983).The Modifiable Areal Unit Problem(PDF). Geo Books.ISBN 0-86094-134-5.
  27. ^Chen, Xiang; Ye, Xinyue; Widener, Michael J.; Delmelle, Eric; Kwan, Mei-Po; Shannon, Jerry; Racine, Racine F.; Adams, Aaron; Liang, Lu; Peng, Jia (27 December 2022)."A systematic review of the modifiable areal unit problem (MAUP) in community food environmental research".Urban Informatics.1 (1): 22.Bibcode:2022UrbIn...1...22C.doi:10.1007/s44212-022-00021-1.S2CID 255206315.
  28. ^Monmonier, Mark (2018).How to Lie With Maps. University of Chicago Press.ISBN 978-0226435923.
  29. ^Adams, Aaron; Chen, Xiang; Li, Weidong; Zhang, Chuanrong (2020)."The disguised pandemic: the importance of data normalization in COVID-19 web mapping".Public Health.183:36–37.doi:10.1016/j.puhe.2020.04.034.PMC 7203028.PMID 32416476.
  30. ^Using Proportional Symbols[1] ESRI ArcGIS Resources. Accessed 19 Dec 2018
  31. ^Crawford, P. (1973). "The Perception of Graduated Squares as Cartographic Symbols".Cartographic Journal.10 (2):85–88.Bibcode:1973CartJ..10...85C.doi:10.1179/caj.1973.10.2.85.
  32. ^Paull, John & Hennig, Benjamin (2016)Atlas of Organics: Four Maps of the World of Organic Agriculture Journal of Organics. 3(1): 25–32.
  33. ^abZhang, T. (2020)."Integrating geographic information system technique with Google Trends data to analyse COVID-19 severity and public interest".Public Health.189:3–4.doi:10.1016/j.puhe.2020.09.005.PMC 7494314.PMID 33074108.
  34. ^Kraak, Menno Jan; Ormeling, Ferjan (2003).Cartography: Visualization of spatial data (2nd ed.). Prentice Hall.ISBN 978-0-13-088890-7. p.129

Further reading

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