Reinhard Furrer
Orcid: 0000-0002-6319-2332
According to our database1,
Reinhard Furrer
authored at least 19 papers
between 2009 and 2023.
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Bibliography
2023
Scientific maps should reach everyone: The cblindplot R package to let colour blind people visualise spatial patterns.
Ecol. Informatics, September, 2023
An Empirical Bayesian Approach to Quantify Multi-Scale Spatial Structural Diversity in Remote Sensing Data.
Remote. Sens., January, 2023
J. Stat. Softw., 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Joint variable selection of both fixed and random effects for Gaussian process-based spatially varying coefficient models.
Int. J. Geogr. Inf. Sci., 2022
Bayesian network analysis reveals the interplay of intracranial aneurysm rupture risk factors.
Comput. Biol. Medicine, 2022
2021
Combining heterogeneous spatial datasets with process-based spatial fusion models: A unifying framework.
Comput. Stat. Data Anal., 2021
2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
optimParallel: An R Package Providing a Parallel Version of the L-BFGS-B Optimization Method.
R J., 2019
2018
IEEE Trans. Geosci. Remote. Sens., 2018
dotCall64: An R package providing an efficient interface to compiled C, C++, and Fortran code supporting long vectors.
SoftwareX, 2018
Information-Theoretic Scoring Rules to Learn Additive Bayesian Network Applied to Epidemiology.
CoRR, 2018
varrank: an R package for variable ranking based on mutual information with applications to observed systemic datasets.
CoRR, 2018
2017
Extending R packages to support 64-bit compiled code: An illustration with spam64 and GIMMS NDVI<sub>3g</sub> data.
Comput. Geosci., 2017
2016
J. Multivar. Anal., 2016
2015
Retrieval of canopy structure types for forest characterization using multi-temporal airborne laser scanning.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2011
Comput. Stat. Data Anal., 2011
2009
Spatial model fitting for large datasets with applications to climate and microarray problems.
Stat. Comput., 2009