Showing 27 of total 27 results (show query)

reconverse

outbreaks:A Collection of Disease Outbreak Data

Empirical or simulated disease outbreak data, provided either as RData or as text files.

Maintained by Finlay Campbell. Last updated 2 years ago.

7.3 match 51 stars 6.70 score 282 scripts

covid19datahub

COVID19:COVID-19 Data Hub

Unified datasets for a better understanding of COVID-19.

Maintained by Emanuele Guidotti. Last updated 28 days ago.

2019-ncovcoronaviruscovid-19covid-datacovid19-data

3.3 match 252 stars 11.08 score 265 scripts

mpbohorquezc

SpatFD:Functional Geostatistics: Univariate and Multivariate Functional Spatial Prediction

Performance of functional kriging, cokriging, optimal sampling and simulation for spatial prediction of functional data. The framework of spatial prediction, optimal sampling and simulation are extended from scalar to functional data. 'SpatFD' is based on the Karhunen-Loève expansion that allows to represent the observed functions in terms of its empirical functional principal components. Based on this approach, the functional auto-covariances and cross-covariances required for spatial functional predictions and optimal sampling, are completely determined by the sum of the spatial auto-covariances and cross-covariances of the respective score components. The package provides new classes of data and functions for modeling spatial dependence structure among curves. The spatial prediction of curves at unsampled locations can be carried out using two types of predictors, and both of them report, the respective variances of the prediction error. In addition, there is a function for the determination of spatial locations sampling configuration that ensures minimum variance of spatial functional prediction. There are also two functions for plotting predicted curves at each location and mapping the surface at each time point, respectively. References Bohorquez, M., Giraldo, R., and Mateu, J. (2016) <doi:10.1007/s10260-015-0340-9>, Bohorquez, M., Giraldo, R., and Mateu, J. (2016) <doi:10.1007/s00477-016-1266-y>, Bohorquez M., Giraldo R. and Mateu J. (2021) <doi:10.1002/9781119387916>.

Maintained by Martha Patricia Bohorquez Castañeda. Last updated 9 months ago.

13.4 match 1.70 score 7 scripts

coreofscience

margaret:Scientometric Analysis Minciencias

The target of 'margaret' is help to extract data from Minciencias to analyze scientific production in Colombia.

Maintained by Bryan Arias. Last updated 2 years ago.

0.6 match 3 stars 3.18 score 4 scripts