Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Beata Całka"'
Autor:
Suresh Mondal, Mst Tania Parveen, Asraful Alam, Rukhsana, Nazrul Islam, Beata Calka, Bashar Bashir, Mohamed Zhran
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 11, p 388 (2024)
The rapid urbanization occurring globally has significantly intensified the challenges of waste management in densely populated metropolitan areas. A growing amount of waste has become a major concern for municipal authorities and local governments d
Externí odkaz:
https://doaj.org/article/c97efc08bdad4914ad9951955ecd78ee
Autor:
Tomasz Kogut, Dagmara Wancel, Grzegorz Stępień, Małgorzata Smuga-Kogut, Marta Szostak, Beata Całka
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4479 (2024)
Modern technologies, such as airborne laser scanning (ALS) and advanced data analysis algorithms, allow for the efficient and safe use of resources to protect infrastructure from potential threats. This publication presents a study to identify trees
Externí odkaz:
https://doaj.org/article/d66b8efe20c44e5b92b90af472f3df72
Autor:
Beata Całka
Publikováno v:
Geodesy and Cartography, Vol vol. 67, Iss No 1 (2018)
Population density varies sharply from place to place on the whole territory of Poland. The largest number of people per 1 km2 is 21,531, while uninhabited areas account for about 48% of the country. Such uneven, non-Gaussian distribution of the data
Externí odkaz:
https://doaj.org/article/7956f1326d7648c1857f5ee63fba3296
Autor:
Beata Całka, Elzbieta Bielecka
Publikováno v:
Miscellanea Geographica. 26:208-214
Monitoring land use efficiency (LUE) is of great importance for the sustainable development of each country. The identification of regions where land consumption prevails over demographic growth should prompt public administrations to act and establi
Autor:
Remigiusz Panicz, Beata Całka, Alhambra Cubillo, João G. Ferreira, James Guilder, Susan Kay, Adam Kennerley, André Lopes, João Lencart e Silva, Nick Taylor, Piotr Eljasik, Jacek Sadowski, Paulina Hofsoe‐Oppermann, Sławomir Keszka
Publikováno v:
Transboundary and emerging diseasesREFERENCES. 69(5)
Climate change will expose the food-producing sector to a range of challenges. Inland aquaculture farms are particularly vulnerable, due to the difficulty in changing their location, and therefore require specific tools to predict the influence of di
Autor:
Beata Całka, Albina Mościcka
Publikováno v:
Applied Sciences; Volume 12; Issue 19; Pages: 9731
A map, being a scaled-down image of a fragment of the Earth, reflects the actual relationships between objects in a way that allows for comprehensive exploration of large areas. In particular, a map is an ideal tool for exploring the layout of histor
Autor:
Beata Całka
Publikováno v:
Journal of Maps, Vol 17, Iss 1, Pp 163-169 (2021)
Bivariate choropleth mappings are proposed in this paper as an effective GIS-based approach that supports the monitoring of Sustainable Development Goals, listed in the Agenda 2030, namely build-up area expansion and population dynamics, the Tier II
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b33a3d8a54451333817cc22e1eab016c
Autor:
Dipankar Bera, Nilanjana Das Chatterjee, Santanu Dinda, Subrata Ghosh, Vivek Dhiman, Bashar Bashir, Beata Calka, Mohamed Zhran
Publikováno v:
Land, Vol 13, Iss 10, p 1689 (2024)
Quantitative analysis of LULC changes and their effects on carbon stock and sequestration is important for mitigating climate change. Therefore, this study examines carbon stock and sequestration in relation to LULC changes using the Land Change Mode
Externí odkaz:
https://doaj.org/article/9bda9acd35fc48e38d47b4a3c1b38c47
Publikováno v:
Remote Sensing, Vol 14, Iss 5, p 1074 (2022)
Indicator 11.3. 1 of the 2030 sustainable development goals (SDG) 11, i.e., the ratio of the land use to the population growth rate, is currently classified by the United Nations as a Tier II indicator, as there is a globally-accepted methodology for
Externí odkaz:
https://doaj.org/article/e84ce009c9d14d65b5bed23a0fcb04c9
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 8, Iss 2, Pp 1440-1455 (2017)
Population density is one of the key parameters for assessing the magnitude of population exposed to risk, and the better quality data we have, the better the assessment of risk. The aim of this study is to elaborate a high-resolution spatially distr
Externí odkaz:
https://doaj.org/article/3f27231f6380412a912359d70bda0584