Anton Grafström
Anton Grafström
Associate Professor of Mathematical Statistics, Swedish University of Agricultural Sciences
Verified email at
Cited by
Cited by
Spatially balanced sampling through the pivotal method
A Grafström, NLP Lundström, L Schelin
Biometrics 68 (2), 514-520, 2012
How to select representative samples
A Grafström, L Schelin
Scandinavian Journal of Statistics 41 (2), 277-290, 2014
Doubly balanced spatial sampling with spreading and restitution of auxiliary totals
A Grafström, Y Tillé
Environmetrics 24 (2), 120-131, 2013
Dead wood availability in managed Swedish forests–Policy outcomes and implications for biodiversity
BG Jonsson, M Ekström, PA Esseen, A Grafström, G Ståhl, B Westerlund
Forest Ecology and Management 376, 174-182, 2016
Spatially correlated Poisson sampling
A Grafström
Journal of Statistical Planning and Inference 142 (1), 139-147, 2012
Model-assisted estimation of growing stock volume using different combinations of LiDAR and Landsat data as auxiliary information
S Saarela, A Grafström, G Ståhl, A Kangas, M Holopainen, S Tuominen, ...
Remote Sensing of Environment 158, 431-440, 2015
BalancedSampling: Balanced and spatially balanced sampling
A Grafström, J Lisic
R package version 1 (2), 2016
Efficient sampling strategies for forest inventories by spreading the sample in auxiliary space
A Grafström, S Saarela, LT Ene
Canadian Journal of Forest Research 44 (10), 1156-1164, 2014
Why well spread probability samples are balanced
A Grafström, NLP Lundström
Open Journal of Statistics 3 (1), 36-41, 2013
Hierarchical model-based inference for forest inventory utilizing three sources of information
S Saarela, S Holm, A Grafström, S Schnell, E Næsset, TG Gregoire, ...
Annals of Forest Science 73, 895-910, 2016
Improving forest field inventories by using remote sensing data in novel sampling designs
A Grafström, AH Ringvall
Canadian Journal of Forest Research 43 (11), 1015-1022, 2013
Entropy of unequal probability sampling designs
A Grafström
Statistical Methodology 7 (2), 84-97, 2010
A new sampling strategy for forest inventories applied to the temporary clusters of the Swedish national forest inventory
A Grafström, X Zhao, M Nylander, H Petersson
Canadian Journal of Forest Research 47 (9), 1161-1167, 2017
Data assimilation in forest inventory: first empirical results
M Nyström, N Lindgren, J Wallerman, A Grafström, A Muszta, K Nyström, ...
Forests 6 (12), 4540-4557, 2015
Effects of sample size and model form on the accuracy of model-based estimators of growing stock volume
S Saarela, S Schnell, A Grafström, S Tuominen, K Nordkvist, J Hyyppä, ...
Canadian Journal of Forest Research 45 (11), 1524-1534, 2015
Effects of positional errors in model-assisted and model-based estimation of growing stock volume
S Saarela, S Schnell, S Tuominen, A Balázs, J Hyyppä, A Grafström, ...
Remote sensing of environment 172, 101-108, 2016
Broad-scale distribution of epiphytic hair lichens correlates more with climate and nitrogen deposition than with forest structure
PA Esseen, M Ekström, B Westerlund, K Palmqvist, BG Jonsson, ...
Canadian Journal of Forest Research 46 (11), 1348-1358, 2016
Data assimilation in stand-level forest inventories
S Ehlers, A Grafström, K Nyström, H Olsson, G Ståhl
Canadian Journal of Forest Research 43 (12), 1104-1113, 2013
Logistic regression for clustered data from environmental monitoring programs
M Ekström, PA Esseen, B Westerlund, A Grafström, BG Jonsson, G Ståhl
Ecological Informatics 43, 165-173, 2018
Forecasting risk of tick-borne encephalitis (TBE): using data from wildlife and climate to predict next year's number of human victims
PD Haemig, S Sjöstedt de Luna, A Grafström, S Lithner, Å Lundkvist, ...
Scandinavian journal of infectious diseases 43 (5), 366-372, 2011
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