Items where Subject is "GA Mathematical geography. Cartography"

Library of Congress subjects (102130) G Geography. Anthropology. Recreation (6218) GA Mathematical geography. Cartography (27)
Number of items at this level: 27.
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  • Allen, Peter, Böttcher, Julia, Hàn, Hiệp, Kohayakawa, Yoshiharu, Person, Yury (2014). Powers of hamilton cycles in pseudorandom graphs. LATIN 2014: Theoretical Informatics, 8392(30), 355-366. https://doi.org/10.1007/978-3-642-54423-1_31
  • Evans, Martin C., Noble, Michael (2001). Changing fortunes: geographic patterns of income deprivation in the late 1990s. Great Britain. Department for Transport, Local Government and the Regions.
  • Gollier, C., Groom, Ben (2013). Pricing the planet's future: the economics of discounting in an uncertain world. Journal of Economic Literature, 51(3), 894-897. https://doi.org/10.1257/jel.51.3.883.r7
  • João, Elsa Maria (1999). Scale issues and EIA: are guidelines needed and are they possible? Environmental Assessment, 7(2), p. 29.
  • Lopez-Gunn, Elena, Zorrilla, P. (2010). The Western Mancha aquifer: data mapping to provide transparency to aid stakeholder participation and decision making. Journal of Maps, 2010, 302-310. https://doi.org/10.4113/jom.2010.1088
  • Quah, Danny (2011). The global economy’s shifting centre of gravity. Global Policy, 2(1), 3 - 9. https://doi.org/10.1111/j.1758-5899.2010.00066.x
  • Riani, Marco, Cerioli, Andrea, Atkinson, Anthony C., Perrotta, Domenico (2014). Monitoring robust regression. Electronic Journal of Statistics, 8, 646-677. https://doi.org/10.1214/14-EJS897
  • Williams, H. Paul (1993). How long is the coast of Cornwall? Mathematics Review, 3, 2-5.
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  • Ballas, Dimitris, Dorling, Danny, Hennig, Benjamin (2017). An atlas with a positive message for a European people united in diversity.
  • Beckett, Charlie (2008). Google doesn't exist: by Royal decree.
  • Hogwood, Patricia (2015). Book review: the social atlas of Europe by Dimitris Ballas, Danny Dorling and Benjamin Hennig.
  • Molloy, Andrew (2013). Book review: Urban maps: instruments of narrative andinterpretation in the city.
  • Motta, Wallis (2016). Harringay map of comfort zones.
  • Motta, Wallis (2016). Harringay map of hotspots.
  • Neumayer, Eric, Plümper, Thomas (2012). Conditional spatial policy dependence: theory and model specification. Comparative Political Studies, 45(7), 819-849. https://doi.org/10.1177/0010414011429066
  • Ostaszewski, A. J. (2015). Beurling regular variation, Bloom dichotomy, and the Gołąb–Schinzel functional equation. Aequationes Mathematicae, 89(3), 725-744. https://doi.org/10.1007/s00010-014-0260-z
  • Overman, Henry G. (2008). Changing UK.
  • Overman, Henry G. (2011). Crime maps.
  • Overman, Henry G. (2009). "Gis a job": what use geographical information systems in spatial economics? (SERC Discussion Papers SERCDP0026). Spatial Economics Research Centre (SERC), London School of Economics and Political Science.
  • Overman, Henry G. (2011). Grim down South?
  • Overman, Henry G. (2011). Where to build?
  • Overman, Henry G. (2011). Big ideas: economic geography. Centrepiece, 15(3), 10-13. https://doi.org/CEPCP331
  • Po, Ronald C. (2025). The Dunn Map: an American and a long-forgotten curio from nineteenth-century China. Crossroads, 23(1), 1 - 35. https://doi.org/10.1163/26662523-bja10022 picture_as_pdf
  • Po, Ronald C. (2016). Mapping maritime power and control: a study of the late eighteenth century Qisheng yanhai tu (a coastal map of the seven provinces). Late Imperial China, 37(2), 93-136. https://doi.org/10.1353/late.2016.0012
  • Streule Ulloa Nieto, Monika, Wildner, Kathrin (2022). Gemeinsam Karten lesen: kollektive Wissensproduktion in der Stadtforschung. In Dammann, Finn, Michel, Boris (Eds.), Handbuch Kritisches Kartieren (pp. 125 - 137). Transcript (Firm). https://doi.org/10.1515/9783839459584-009 picture_as_pdf
  • Watkins, N. W. (2019). Mandelbrot's stochastic time series models. Earth and Space Science, 6(11), 2044 - 2056. https://doi.org/10.1029/2019EA000598 picture_as_pdf
  • Wilks-Heeg, Stuart (2010). Reduce and equalise? Why electoral geography matters.