| Spatially balanced sampling through the pivotal method A Grafström, NLP Lundström, L Schelin Biometrics 68 (2), 514-520, 2012 | 243 | 2012 |
| How to select representative samples A Grafström, L Schelin Scandinavian Journal of Statistics 41 (2), 277-290, 2014 | 159 | 2014 |
| Doubly balanced spatial sampling with spreading and restitution of auxiliary totals A Grafström, Y Tillé Environmetrics 24 (2), 120-131, 2013 | 139 | 2013 |
| Spatially correlated Poisson sampling A Grafström Journal of Statistical Planning and Inference 142 (1), 139-147, 2012 | 116 | 2012 |
| 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 | 113 | 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 | 98 | 2015 |
| BalancedSampling: Balanced and spatially balanced sampling A Grafström, J Lisic R package version 1 (2), 2016 | 90* | 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 | 84 | 2014 |
| Why well spread probability samples are balanced A Grafström, NLP Lundström Open Journal of Statistics 3 (1), 36-41, 2013 | 80 | 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 | 75 | 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 | 58 | 2013 |
| Entropy of unequal probability sampling designs A Grafström Statistical Methodology 7 (2), 84-97, 2010 | 49 | 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 | 46 | 2017 |
| 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 | 39 | 2015 |
| 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 | 38 | 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 | 35 | 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 | 33 | 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 | 32 | 2013 |
| 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 | 30 | 2011 |
| 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 | 28 | 2018 |
