Abstract
Among cartographic population density methods, the choropleth method is obviously one of the most used. Two reasons explain this statement: the cartographer’s ease of implementation and the reader’s ease of understanding. Nevertheless, in many cases, this cartographic method may lead to misleading and erroneous results. This happens especially when the case studies reveal high various inner densities, because of the use of calculated density means, the numbers, shapes and sizes of the counting numbers. For spaces observing a high inner heterogeneity, it was proven that the choropleth method has many lacks and deficiencies related in the literature. A few cartographers prefer the dasymetric method based on satellite images since this latter describes more closely the reality of the population distribution even though this method is more difficult to implement. In most cases studies, the dasymetric method was applied to large spaces, whether national or regional, scarcely to urban spaces. The purpose of the chapter book is to give a real idea on the human environment of Tunisia. This will be achieved through the elaboration of a 1:1000000 scale dasymetric map of the population of Tunisia. This map should be the first since similar work on the issue was never achieved on Tunisia. It would portray the great disparities characterizing spaces’ occupation: rural vs urban areas, oasis vs deserts, plains vs mountains, coast vs interior and so on.
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References
Olson J (1975) Autocorrelation and visual map complexity. Ann Assoc Am Cartographers 75(2):189–204
Andrienko G, Andrienko N, Savinov A (2001) Choropleth maps: classification revisited. In Proceedings 20th international cartographic conference—ICA’2001, August 6–10, 2001, Beijing, China. 1209–1219. https://www.researchgate.net/publication/228959242_Choropleth_maps_Classification_revisited/citation/download
Dhieb M (1991a) Deux exemples de conception de planches d’atlas: La répartition de la population en Tunisie. ICA Proceedings “Mapping The Nations”, Bournemouth (In French)
Robinson A-H. and al., (1985) Elements of cartography, 5th edn. United States of America, 544 p
Dent BD (1999) Cartography: thematic map design, 5th edn. WCB/McGraw-Hill, Boston, MA
Slocum T et al (2003) Thematic cartography and geographic visualization, 2nd edn. Upper Saddle River, NJ: Prentice Hall 5th edn. WCB/McGraw-Hill, Boston, MA
Tobler W (1979) Smooth pycnophylactic interpolation for geographical regions. J Am Stat Assoc. 74: 519–530. https://www.jstor.org/stable/2286968?seq=1#page_scan_tab_contents
Mennis J, Hultgren T (2006) Intelligent dasymetric mapping and its application to areal interpolation. Cartogr Geogr Inf Sci 33(3):179–194. https://www.researchgate.net/publication/228653393_Intelligent_Dasymetric_Mapping_and_Its_Application_to_Areal_Interpolation
Robinson AH, (1955) The 1837 maps of Henry Drury Harness. Geogr J 121(4):440–450
Petrov A (2012) Setting the record straight: on the Russian origins of dasymetric mapping. Cartogr J 49(2):256–264
Wright JK (1936) A method of mapping densities of population. Geogr Rev 26:103–110
Langford M (2006) Obtaining population estimates in non-census reporting zones: an evaluation of the 3-class dasymetric method. Comput Environ Urban Syst 30:161–180. https://www.researchgate.net/publication/220666265_Obtaining_population_estimates_in_non-census_reporting_zones_An_evaluation_of_the_3-class_dasymetric_method
Eicher CL, Brewer CA (2013) Dasymetric mapping and areal interpolation: implementation and evaluation. Cartogr Geogr Inf Sci 28(2):138. https://www.tandfonline.com/doi/abs/10.1559/152304001782173727
Mennis J (2003) Generating surface models of population using dasymetric mapping. Prof. Geogr 55(1):31–42. https://www.tandfonline.com/doi/abs/10.1111/0033-0124.10042
Bielecka E (2005) A dasymetric population density map of Poland In: Proceedings of the international conference July 9–15 Spain CD: A Coruna
Hamza MH, Thubaiti A, Dhieb M, and al (2016) Dasymetric mapping as a tool to assess the spatial distribution of population in Jeddah City (Kingdom of Saudi Arabia). Urban Stud 4(3):329–342. https://www.scirp.org/Journal/PaperInformation.aspx?PaperID=70931
Goodchild MF, Lam N (1980) Areal interpolation: a variant of the traditional spatial problem. Geo-Processing 1:297–312. http://www.geog.ucsb.edu/~good/papers/46.pdf
Mennis J (2009) Dasymetric mapping for estimating population in small areas. Geogr Compass 3:727–745. https://www.researchgate.net/publication/229649191_Dasymetric_Apping_for_Estimating_Population_in_Small_Areas/citation/download
Alahmadi MS, Atkinson P, Martin JI (2012) Estimation of the spatial distribution of urban population using remotely sensed satellite data in Riyadh Saudi Arabia. https://www.geos.ed.ac.uk/~gisteac/proceedingsonline/GISRUK2012/Papers/presentation-31.pdf
Chen K (2002) An approach to linking remotely sensed data and areal census data. Int J Remote Sensing 23(1):37–48. http://cartesianos.com/geodoc/icc2005/pdf/oral/TEMA5/Session%209/ELZBIETA%20BIELECKA.pdf
Dhieb M (1991b) La représentation cartographique des densités de population urbaine: Aspects méthodologiques. Rev Tunis Sci Soc, 110 Tunis, CERES (In Arabic)
Dhieb M (1995) La répartition spatiale de la population tunisienne d’après les premiers résultats du recensement de 1994. Rev Tunis Géogr, 28 FSHS de Tunis (In French)
The National Institute of statistics (2014) Recensement Général de la Population et de l’Habitat 2014, vol 9. http://www.ins.tn/fr/search-stat?text=recensement%202014&f0.=field_theme%3A16
Belhédi Amor (1992) L’organisation de l’espace en Tunisie, Faculté des sciences humaines et sociales de Tunis, 1992
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Dhieb, M., Yengui, T., Nasr, M. (2021). Approaching the Tunisian Human Environment by Using RS and the Dasymetric Method. In: Khebour Allouche, F., Negm, A.M. (eds) Environmental Remote Sensing and GIS in Tunisia. Springer Water. Springer, Cham. https://doi.org/10.1007/978-3-030-63668-5_2
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