Buscar
Volume growth of submanifolds and the Cheeger isoperimetric constant
(American Mathematical Society, 2013-10)
We obtain an estimate of the Cheeger isoperimetric constant in terms of the volume growth for a properly immersed submanifold in a Riemannian manifold which possesses at least one pole and sectional curvature bounded from above.
Beyond Euclidean Distance for Error Measurement in Pedestrian Indoor Location
(Institute of Electrical and Electronics Engineers, 2020-09-04)
Indoor positioning systems (IPSs) suffer from a
lack of standard evaluation procedures enabling credible comparisons: this is one of the main challenges hindering their
widespread market adoption. Traditionally, accuracy ...
Spatial pattern modelling of wildfires in Catalonia, Spain 2004–2008
(Elsevier, 2013)
The paper has three objectives: firstly, to evaluate how the extent of clustering in wildfires differs across the years they occurred; secondly, to analyse the influence of covariates on trends in the intensity of wildfire ...
Temporal Distribution and Weather Correlates of Norway Rat (Rattus norvegicus) Infestations in the City of Madrid, Spain
(Springer Verlag, 2013)
Urban Norway rats are challenging pests, posing significant health and economic threats. Implementing
ecologically based integrated rodent management (EBIRM) programmes relies primarily on the
understanding of ecological ...
Sense of place and the city: the case of non-native residents in Lisbon
(University of Maine (United States), 2021-11-19)
When immigrants move to a new city, they tend to develop distinct relationships
with the urban landscape, which in turn becomes the new setting of their routine-based
activities that evolve over time. Previous works in ...
Improving Hyperspectral Pixel Classification With Unsupervised Training Data Selection
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
An unsupervised method for selecting training data is suggested here. The method is tested by applying it to hyperspectral land-use classification. The data set is reduced using an unsupervised band selection method and ...
Mapping the intensity function of a non-stationary point process in unobserved areas
(Springer, 2022)
Seismic networks provide data that are used as basis both for public safety decisions and for scientific research. Their configuration affects the data completeness, which in turn, critically affects several seismological ...
A Kalman filter method for estimation and prediction of space–time data with an autoregressive structure
(Elsevier, 2019-03)
We propose a new Kalman filter algorithm to provide a formal statistical analysis of space–time data with an autoregressive structure. The Kalman filter technique allows to capture the temporal dependence as well as the ...
Importance of habitat heterogeneity and biotic processes in the spatial distribution of a riparian herb (Carex remota L.): a point process approach
(Springer, 2013-01)
This study attempts to understand the dependence on abiotic factors and on the biotic process of the population development. We used three spatial point process models (Poisson, Area-Interaction and shot-noise Cox processes) ...
Passive mobile data for studying seasonal tourism mobilities: an application in a Mediterranean Coastal destination
(MDPI, 2021-02-22)
The article uses passive mobile data to analyse the complex mobilities that occur in a coastal
region characterised by seasonal patterns of tourism activity. A large volume of data generated by
mobile phone users has ...