Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Ignacio C. Fernández"'
Autor:
Ana Rosenbluth, Teresa Ropert, Vicente Rivera, Matías Villalobos-Morgado, Yerko Molina, Ignacio C. Fernández
Publikováno v:
Land, Vol 13, Iss 6, p 756 (2024)
Urban spatial segregation in Santiago de Chile, a prevalent feature of Latin American cities, underscores socioeconomic disparities and shapes the city’s socio-spatial dynamics. This segregation, driven by land prices and private ownership, has pus
Externí odkaz:
https://doaj.org/article/326de9f1b6a44e858c21ba6192f6210e
Publikováno v:
World Development Sustainability, Vol 2, Iss , Pp 100055- (2023)
Latin America is among the most urbanized regions in the world. However, cities in this region usually present an uneven distribution of environmental amenities and hazards between socioeconomic sectors, translating into prevalent issues of environme
Externí odkaz:
https://doaj.org/article/4b749cdbecc445b28ba574da80e92190
Publikováno v:
Frontiers in Sustainable Cities, Vol 4 (2022)
Externí odkaz:
https://doaj.org/article/3320bb0aee024344a175407533084d0b
Publikováno v:
Land, Vol 12, Iss 2, p 303 (2023)
Land degradation and climate change are among the main threats to the sustainability of ecosystems worldwide. As a result, the restoration of degraded landscapes is essential to maintaining the functionality of ecosystems, especially those with great
Externí odkaz:
https://doaj.org/article/65d2fbd810d6461dacc130c47c368e07
Publikováno v:
PeerJ, Vol 7, p e7016 (2019)
Multiple-class land-cover classification approaches can be inefficient when the main goal is to classify only one or a few classes. Under this scenario one-class classification algorithms could be a more efficient alternative. Currently there are sev
Externí odkaz:
https://doaj.org/article/5ff65df7e18e49439fea6b04b2dfd230
Publikováno v:
Entropy, Vol 22, Iss 3, p 342 (2020)
MaxEnt is a popular maximum entropy-based algorithm originally developed for modelling species distribution, but increasingly used for land-cover classification. In this article, we used MaxEnt as a single-class land-cover classification and explored
Externí odkaz:
https://doaj.org/article/ead8652f02a8497792399ec3649c53f4
Publikováno v:
PeerJ, Vol 5, p e3093 (2017)
Environmental niche modeling (ENM) is commonly used to develop probabilistic maps of species distribution. Among available ENM techniques, MaxEnt has become one of the most popular tools for modeling species distribution, with hundreds of peer-review
Externí odkaz:
https://doaj.org/article/1146fde31cda4645bfbdbcb65b2d903e
Publikováno v:
International Journal of Ecology, Vol 2015 (2015)
To assess the conservation status of a species with little ecological information is usually a challenging process. Pouteria splendens is an endemic shrub of the coastal range of Central Chile currently classified as lower risk (LR) by IUCN (version
Externí odkaz:
https://doaj.org/article/d28c24622f464dad81cb2a04b76e4cca
Autor:
Ignacio C. Fernández
Publikováno v:
Revista de geografía Norte Grande. :193-208
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25f9f9ee84e57562dc71748752ab33f6
https://doi.org/10.4067/s0718-34022022000200193
https://doi.org/10.4067/s0718-34022022000200193
Land degradation and climate change are among the main threats to the sustainability of ecosystems worldwide. Therefore, the restoration of degraded landscapes is essential to maintain the functionality of ecosystems, especially those with greater so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a70a0c18268c87bca4b7253a573c5595
https://doi.org/10.20944/preprints202211.0241.v1
https://doi.org/10.20944/preprints202211.0241.v1
