Zobrazeno 1 - 10
of 138
pro vyhledávání: '"Choropleth Mapping"'
Autor:
Wangshu Mu, Daoqin Tong
Publikováno v:
International Journal of Geographical Information Science. 34:2204-2224
Choropleth mapping provides a simple but effective visual presentation of geographical data. Traditional choropleth mapping methods assume that data to be displayed are certain. This may not be tru...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1095074c99d0070ce468bcf5a4dea188
https://doi.org/10.1080/13658816.2020.1726921
https://doi.org/10.1080/13658816.2020.1726921
Autor:
Nedbalová, Amálie
The thesis focuses on one of the map skills - map interpretation. The aim of the thesis is to characterize the process of solving tasks aimed at the interpretation of two types of thematic maps (chloropleth mapping and area-shading mapping) by studen
Externí odkaz:
http://www.nusl.cz/ntk/nusl-455896
Autor:
Nedbalová, Amálie
The thesis focuses on one of the map skills - map interpretation. The aim of the thesis is to characterize the process of solving tasks aimed at the interpretation of two types of thematic maps (chloropleth mapping and area-shading mapping) by studen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2186::91cce9513b776482a8f238811a1667de
http://www.nusl.cz/ntk/nusl-455896
http://www.nusl.cz/ntk/nusl-455896
Autor:
Jochen Schiewe
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 7, Iss 8, p 288 (2018)
Approaches to landscape and urban change analysis are still far away from being fully automatic or operational. For this reason, the concept of Geovisual Analytics is proposed, combining computational and visual/manual processing steps. This contribu
Externí odkaz:
https://doaj.org/article/fac28308107d45deb6a6951a503a4601
Akademický článek
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Autor:
Daoqin Tong, Wangshu Mu
Publikováno v:
Annals of the American Association of Geographers. 109:1493-1510
Choropleth mapping provides a powerful way to visualize geographical phenomena with colors, shadings, or patterns. In many real-world applications, geographical data often contain uncertainty. How ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd8c5dbb58b0adc9d9212818936df7a6
https://doi.org/10.1080/24694452.2018.1549971
https://doi.org/10.1080/24694452.2018.1549971
Autor:
Behzad Javaheri
The COVID-19 pandemic has caused ~ 2 million fatalities. Significant progress has been made in advancing our understanding of the disease process, one of the unanswered questions, however, is the anomaly in the case/mortality ratio with Mexico as a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::846eb9d1f95d86e3a4604cba768d4d17
Autor:
Saye Nihan Çabuk, Alper Çabuk, Muzeyyen Anil Senyel Kurkcuoglu, Zeynep Ortakavak, Mehmet Cetin
Publikováno v:
Environmental Monitoring and Assessment. 192
Demography researchers and scientists have been effectively utilizing advanced technologies and methods such as geographical information systems, spatial statistics, georeferenced data, and satellite images for the last 25 years. Areal interpolation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88fbbff6b8aaa66075f31a3536616991
https://doi.org/10.1007/s10661-020-08735-y
https://doi.org/10.1007/s10661-020-08735-y
Publikováno v:
Preventing Chronic Disease
Bivariate choropleth mapping is a straightforward but underused method for displaying geographic health information to use in public health decision making. Previous studies have recommended this approach for state comprehensive cancer control planni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1060c408616f7626efcdc8025f52a84
https://doi.org/10.5888/pcd17.190254
https://doi.org/10.5888/pcd17.190254
Publikováno v:
Environment International. 119:152-164
Precise population information is critical for identifying more accurate environmental exposures for air pollution impacts analysis. Basically, there are two methods for estimating spatial distribution of population, choropleth and dasymetric mapping
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f995d5ee0b7e007552fce7160544a712
https://doi.org/10.1016/j.envint.2018.06.021
https://doi.org/10.1016/j.envint.2018.06.021