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Anton Grafström
Anton Grafström
Professor, Forest Inventory and Sampling, Swedish University of Agricultural Sciences
Verified email at slu.se
Title
Cited by
Cited by
Year
Spatially balanced sampling through the pivotal method
A Grafström, NLP Lundström, L Schelin
Biometrics 68 (2), 514-520, 2012
2492012
How to select representative samples
A Grafström, L Schelin
Scandinavian Journal of Statistics 41 (2), 277-290, 2014
1792014
Doubly balanced spatial sampling with spreading and restitution of auxiliary totals
A Grafström, Y Tillé
Environmetrics 24 (2), 120-131, 2013
1492013
Spatially correlated Poisson sampling
A Grafström
Journal of Statistical Planning and Inference 142 (1), 139-147, 2012
1282012
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
1262016
BalancedSampling: Balanced and spatially balanced sampling
A Grafström, J Lisic
R package version 1 (2), 2016
101*2016
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
1012015
Why well spread probability samples are balanced
A Grafström, NLP Lundström
Open Journal of Statistics 3 (1), 36-41, 2013
872013
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
852014
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
842016
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
582013
Entropy of unequal probability sampling designs
A Grafström
Statistical Methodology 7 (2), 84-97, 2010
542010
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
462017
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
412015
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
392015
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
362016
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
352016
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
342013
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
312018
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
312011
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