Geospatial analysis of extreme weather events in Nigeria (1985–2015) using self‐organizing maps
The explosion of data in the information age has provided an opportunity to explore the
possibility of characterizing the climate patterns using data mining techniques. Nigeria has a …
possibility of characterizing the climate patterns using data mining techniques. Nigeria has a …
[HTML][HTML] Examining village characteristics for forest management using self-and geographic self-organizing maps: a case from the Baekdudaegan mountain range …
Understanding the village characteristics linked to forest networks is essential for the
scientific management of forest resources. Forests are complex socio-ecological systems …
scientific management of forest resources. Forests are complex socio-ecological systems …
Spatial patterning of chlorophyll a and water-quality measurements for determining environmental thresholds for local eutrophication in the Nakdong River basin
Management of water-quality in a river ecosystem needs to be focused on susceptible
regions to eutrophication based on proper measurements. The stress–response …
regions to eutrophication based on proper measurements. The stress–response …
Classifying habitat characteristics of wetlands using a self-organizing map
Wetlands are nutrient-rich and biodiverse ecosystems that provide habitats for various
animals and plants and protect against flooding. Classification of wetlands provides …
animals and plants and protect against flooding. Classification of wetlands provides …
Exploratory geospatial data analysis using the GeoSOM suite
Clustering constitutes one of the most popular and important tasks in data analysis. This is
true for any type of data, and geographic data is no exception. In fact, in geographic …
true for any type of data, and geographic data is no exception. In fact, in geographic …
A new combined clustering method to Analyse the potential of district heating networks at large-scale
For effective integration of large amounts of renewables and high-efficiency energy
technologies, their benefits have to be quantified. Network-level energy optimisation …
technologies, their benefits have to be quantified. Network-level energy optimisation …
Bayesian space-time partitioning by sampling and pruning spanning trees
A typical problem in spatial data analysis is regionalization or spatially constrained
clustering, which consists of aggregating small geographical areas into larger regions. A …
clustering, which consists of aggregating small geographical areas into larger regions. A …
Multi‐species hotspots detection using self‐organizing maps: Simulation and application to purse seine tuna fisheries management
P Stephan, D Gaertner, I Perez… - Methods in Ecology and …, 2022 - Wiley Online Library
To fulfil fisheries management objectives that often include implementing the precautionary
and ecosystem‐based approaches, multispecies fisheries data need to be analysed …
and ecosystem‐based approaches, multispecies fisheries data need to be analysed …
The forbidden region self-organizing map neural network
AD Ramos, E López-Rubio… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Self-organizing maps (SOMs) are aimed to learn a representation of the input distribution
which faithfully describes the topological relations among the clusters of the distribution. For …
which faithfully describes the topological relations among the clusters of the distribution. For …
Regionalization of social interactions and points-of-interest location prediction with geosocial data
Traditional methods for studying the activity dynamics of people and their social interactions
in cities require time-consuming and resource-intensive observations and surveys. Dynamic …
in cities require time-consuming and resource-intensive observations and surveys. Dynamic …