Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Suzana Dragicevic"'
Publikováno v:
PLoS ONE, Vol 14, Iss 7, p e0219188 (2019)
Residential segregation into spatial neighborhoods and boroughs is a well-known spatial dynamic process that characterise complex urban environments. Existing models of segregation, including the pioneering Schelling ones, often do not consider all t
Externí odkaz:
https://doaj.org/article/ac96fba67d2f4ec08ce343c83a466cec
Autor:
Taylor Anderson, Suzana Dragicevic
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 5, Iss 2, p 9 (2016)
Insect infestation behaves as a complex system, characterized by non-linear spatial dynamics and emergent patterns that evolve from smaller to larger spatial scales. The emerald ash borer (EAB) is an invasive species that has infested and killed mill
Externí odkaz:
https://doaj.org/article/ceef9f66f369471ca766d5ea2e5b8f2c
Autor:
Suzana Dragicevic, Bright Addae
Publikováno v:
Geocarto International.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff38998e8af2b858254c2f3e6c0d1fae
https://doi.org/10.1080/10106049.2022.2152498
https://doi.org/10.1080/10106049.2022.2152498
Publikováno v:
ISPRS International Journal of Geo-Information; Volume 11; Issue 12; Pages: 587
An open problem impeding the use of deep learning (DL) models for forecasting land cover (LC) changes is their bias toward persistent cells. By providing sample weights for model training, LC changes can be allocated greater influence in adjustments
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a11df9e4123c44c4f0dfb2c0aa965331
Publikováno v:
Big Earth Data, Pp 1-28 (2024)
Modelling land-use/landcover (LULC) change is vital for addressing global environmental and sustainability issues and evaluating various land system scenarios. However, existing geosimulation methodologies for global LULC change fail to account for s
Externí odkaz:
https://doaj.org/article/d92dd97c0a4e4e48835c89d242cce57d
Publikováno v:
Land; Volume 11; Issue 3; Pages: 443
As many urban areas undergo increasing densification, there is a growing need for methods that can extend spatial analysis and decision-making for three-dimensional (3D) environments. Traditional multicriteria evaluation (MCE) methods implemented wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::439eab63936664162255e45263f5d52e
Publikováno v:
Land, Vol 13, Iss 8, p 1288 (2024)
Geographic Information System-based Multi-Criteria Evaluation (GIS-MCE) methods are designed to assist in various spatial decision-making problems using spatial data. Deriving criteria weights is an important component of GIS-MCE, typically relying o
Externí odkaz:
https://doaj.org/article/7fe26a3e3c3d448ab9eef1027f547791
Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6530 (2024)
The theoretical paradigm of geographic automata systems (GAS) underpins a wide range of studies to represent dynamic complex geospatial phenomena. Specifically, cellular automata (CA) were used extensively over the past 40 years for geospatial applic
Externí odkaz:
https://doaj.org/article/8266d30b1d424165ade9c81d731ec190
Autor:
Jean-Claude Thill, Suzana Dragicevic
The contributed volume collects cutting-edge research in GeoComputational Analysis of Regional Systems. The contributions emphasize methodological innovations or substantive breakthroughs on many facets of the socio-economic and environmental reality
Publikováno v:
Geocarto International, Vol 38, Iss 1 (2023)
Unaddressed imbalance of multitemporal land cover (LC) data reduces deep learning (DL) model usefulness to forecast changes. To manage geospatial data imbalance, there is a lack of specialized cost-sensitive learning strategies available. Sample weig
Externí odkaz:
https://doaj.org/article/20392b2f476f4f29855c2422dde3286b