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Spatially Balanced Sampling of Natural Resources

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Cited by:

  1. Alcasena, Fermín J. & Salis, Michele & Nauslar, Nicholas J. & Aguinaga, A. Eduardo & Vega-García, Cristina, 2016. "Quantifying economic losses from wildfires in black pine afforestations of northern Spain," Forest Policy and Economics, Elsevier, vol. 73(C), pages 153-167.
  2. Galizia, Luiz Felipe & Alcasena, Fermín & Prata, Gabriel & Rodrigues, Marcos, 2021. "Assessing expected economic losses from wildfires in eucalypt plantations of western Brazil," Forest Policy and Economics, Elsevier, vol. 125(C).
  3. Sudipto Banerjee & Alan E. Gelfand & Andrew O. Finley & Huiyan Sang, 2008. "Gaussian predictive process models for large spatial data sets," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(4), pages 825-848, September.
  4. Maria Michela Dickson & Yves Tillé, 2016. "Ordered spatial sampling by means of the traveling salesman problem," Computational Statistics, Springer, vol. 31(4), pages 1359-1372, December.
  5. Luke J. Zachmann & Erin M. Borgman & Dana L. Witwicki & Megan C. Swan & Cheryl McIntyre & N. Thompson Hobbs, 2022. "Bayesian Models for Analysis of Inventory and Monitoring Data with Non-ignorable Missingness," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 27(1), pages 125-148, March.
  6. Tomasz Bąk, 2021. "Spatial sampling methods modified by model use," Statistics in Transition New Series, Polish Statistical Association, vol. 22(2), pages 143-154, June.
  7. Huan Xie & Fang Wang & Yali Gong & Xiaohua Tong & Yanmin Jin & Ang Zhao & Chao Wei & Xinyi Zhang & Shicheng Liao, 2022. "Spatially Balanced Sampling for Validation of GlobeLand30 Using Landscape Pattern-Based Inclusion Probability," Sustainability, MDPI, vol. 14(5), pages 1-19, February.
  8. Kathryn M. Irvine & T. J. Rodhouse & Ilai N. Keren, 2016. "Extending Ordinal Regression with a Latent Zero-Augmented Beta Distribution," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 21(4), pages 619-640, December.
  9. Lorenzo Fattorini & Marzia Marcheselli & Caterina Pisani & Luca Pratelli, 2022. "Design‐based properties of the nearest neighbor spatial interpolator and its bootstrap mean squared error estimator," Biometrics, The International Biometric Society, vol. 78(4), pages 1454-1463, December.
  10. Lorenzo Fattorini & Timothy G. Gregoire & Sara Trentini, 2018. "The Use of Calibration Weighting for Variance Estimation Under Systematic Sampling: Applications to Forest Cover Assessment," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 23(3), pages 358-373, September.
  11. Zhonglei Wang & Zhengyuan Zhu, 2019. "Spatiotemporal Balanced Sampling Design for Longitudinal Area Surveys," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 24(2), pages 245-263, June.
  12. Gideon Minua Kwaku Ampofo & Prosper Basommi Laari & Emmanuel Opoku Ware & Williams Shaw, 2023. "Further investigation of the total natural resource rents and economic growth nexus in resource-abundant sub-Saharan African countries," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(1), pages 97-121, January.
  13. Xuli Zan & Zuliang Zhao & Wei Liu & Xiaodong Zhang & Zhe Liu & Shaoming Li & Dehai Zhu, 2019. "The Layout of Maize Variety Test Sites Based on the Spatiotemporal Classification of the Planting Environment," Sustainability, MDPI, vol. 11(13), pages 1-15, July.
  14. Roberto Benedetti & Federica Piersimoni & Paolo Postiglione, 2017. "Spatially Balanced Sampling: A Review and A Reappraisal," International Statistical Review, International Statistical Institute, vol. 85(3), pages 439-454, December.
  15. Linda Altieri & Daniela Cocchi, 2021. "Spatial Sampling for Non‐compact Patterns," International Statistical Review, International Statistical Institute, vol. 89(3), pages 532-549, December.
  16. Guillaume Chauvet & Ronan Le Gleut, 2021. "Inference under pivotal sampling: Properties, variance estimation, and application to tesselation for spatial sampling," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(1), pages 108-131, March.
  17. Naresh Kumar, 2007. "Spatial Sampling Design for a Demographic and Health Survey," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 26(5), pages 581-599, December.
  18. B. L. Robertson & J. A. Brown & T. McDonald & P. Jaksons, 2013. "BAS: Balanced Acceptance Sampling of Natural Resources," Biometrics, The International Biometric Society, vol. 69(3), pages 776-784, September.
  19. Meredith L Flash & Adelene S M Wong & Mark A Stevenson & James R Gilkerson, 2020. "Barriers to entering race training before 4 years of age for Thoroughbred horses born in the 2014 Australian foal crop," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-15, August.
  20. Jesse Tack & Keith H. Coble & Robert Johansson & Ardian Harri & Barry J. Barnett, 2019. "The Potential Implications of “Big Ag Data” for USDA Forecasts," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(4), pages 668-683, December.
  21. ak Tomasz B, 2021. "Spatial sampling methods modified by model use," Statistics in Transition New Series, Statistics Poland, vol. 22(2), pages 143-154, June.
  22. Anton Grafström & Lina Schelin, 2014. "How to Select Representative Samples," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(2), pages 277-290, June.
  23. Xin Zhao & Anton Grafström, 2020. "A sample coordination method to monitor totals of environmental variables," Environmetrics, John Wiley & Sons, Ltd., vol. 31(6), September.
  24. Shepherd, Keith D. & Shepherd, Gemma & Walsh, Markus G., 2015. "Land health surveillance and response: A framework for evidence-informed land management," Agricultural Systems, Elsevier, vol. 132(C), pages 93-106.
  25. Xin Zhao & Anton Grafström, 2024. "Estimation of change with partially overlapping and spatially balanced samples," Environmetrics, John Wiley & Sons, Ltd., vol. 35(1), February.
  26. Maria Michela Dickson & Giuseppe Espa & Diego Giuliani & Emanuele Taufer, 2016. "Metodi di campionamento spaziale per la selezione di campioni rappresentativi di imprese," RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, FrancoAngeli Editore, vol. 2016(3), pages 89-99.
  27. Eric W Fox & Jay M Ver Hoef & Anthony R Olsen, 2020. "Comparing spatial regression to random forests for large environmental data sets," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-22, March.
  28. Skinner, C.J., 2015. "Cross-classified sampling: Some estimation theory," Statistics & Probability Letters, Elsevier, vol. 104(C), pages 163-168.
  29. Robertson, B.L. & McDonald, T. & Price, C.J. & Brown, J.A., 2017. "A modification of balanced acceptance sampling," Statistics & Probability Letters, Elsevier, vol. 129(C), pages 107-112.
  30. Cindy L. Yu & Jie Li & Michael G. Karl & Todd J. Krueger, 2020. "Obtaining a Balanced Area Sample for the Bureau of Land Management Rangeland Survey," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 25(2), pages 250-275, June.
  31. Thomas Welchowski & Kelly O. Maloney & Richard Mitchell & Matthias Schmid, 2022. "Techniques to Improve Ecological Interpretability of Black-Box Machine Learning Models," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 27(1), pages 175-197, March.
  32. Skinner, C. J., 2015. "Cross-classified sampling: some estimation theory," LSE Research Online Documents on Economics 62261, London School of Economics and Political Science, LSE Library.
  33. Sara Franceschi & Rosa Maria Di Biase & Agnese Marcelli & Lorenzo Fattorini, 2022. "Some Empirical Results on Nearest-Neighbour Pseudo-populations for Resampling from Spatial Populations," Stats, MDPI, vol. 5(2), pages 1-16, April.
  34. Raphaël Jauslin & Yves Tillé, 2020. "Spatial Spread Sampling Using Weakly Associated Vectors," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 25(3), pages 431-451, September.
  35. Matthew Nahorniak & David P Larsen & Carol Volk & Chris E Jordan, 2015. "Using Inverse Probability Bootstrap Sampling to Eliminate Sample Induced Bias in Model Based Analysis of Unequal Probability Samples," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-19, June.
  36. Maria Michela Dickson & Giuseppe Espa & Diego Giuliani, 2016. "Incomplete geocoding and spatial sampling: the effects of locational errors on population total estimation," DEM Working Papers 2016/04, Department of Economics and Management.
  37. Darren Norris & Marie-Josée Fortin & William E Magnusson, 2014. "Towards Monitoring Biodiversity in Amazonian Forests: How Regular Samples Capture Meso-Scale Altitudinal Variation in 25 km2 Plots," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-9, August.
  38. Robertson, B.L. & Reale, M. & Price, C.J. & Brown, J.A., 2021. "Quasi-random ranked set sampling," Statistics & Probability Letters, Elsevier, vol. 171(C).
  39. McHugh, Peter A. & Saunders, W. Carl & Bouwes, Nicolaas & Wall, C. Eric & Bangen, Sara & Wheaton, Joseph M. & Nahorniak, Matthew & Ruzycki, James R. & Tattam, Ian A. & Jordan, Chris E., 2017. "Linking models across scales to assess the viability and restoration potential of a threatened population of steelhead (Oncorhynchus mykiss) in the Middle Fork John Day River, Oregon, USA," Ecological Modelling, Elsevier, vol. 355(C), pages 24-38.
  40. Yves Tillé, 2022. "Some Solutions Inspired by Survey Sampling Theory to Build Effective Clinical Trials," International Statistical Review, International Statistical Institute, vol. 90(3), pages 481-498, December.
  41. Jackson, Laura E. & Rashleigh, Brenda & McDonald, Michael E., 2012. "Economic Value of Stream Degradation across the Central Appalachians," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 42(3), pages 1-10.
  42. Steven L Van Wilgenburg & C Lisa Mahon & Greg Campbell & Logan McLeod & Margaret Campbell & Dean Evans & Wendy Easton & Charles M Francis & Samuel Haché & Craig S Machtans & Caitlin Mader & Rhiannon F, 2020. "A cost efficient spatially balanced hierarchical sampling design for monitoring boreal birds incorporating access costs and habitat stratification," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-28, June.
  43. B. L. Robertson & O. Ozturk & O. Kravchuk & J. A. Brown, 2022. "Spatially Balanced Sampling with Local Ranking," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 27(4), pages 622-639, December.
  44. Kshitiz Shrestha & James R Gilkerson & Mark A Stevenson & Meredith L Flash, 2021. "Drivers of exit and outcomes for Thoroughbred racehorses participating in the 2017–2018 Australian racing season," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-16, September.
  45. Anton Grafström & Niklas L. P. Lundström & Lina Schelin, 2012. "Spatially Balanced Sampling through the Pivotal Method," Biometrics, The International Biometric Society, vol. 68(2), pages 514-520, June.
  46. Steen Magnussen & Johannes Breidenbach, 2020. "Retrieval of among-stand variances from one observation per stand," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 66(4), pages 133-149.
  47. Jacopo Paglia & Jo Eidsvik & Juha Karvanen, 2022. "Efficient spatial designs using Hausdorff distances and Bayesian optimization," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(3), pages 1060-1084, September.
  48. Pommerening, Arne & Szmyt, Janusz & Zhang, Gongqiao, 2020. "A new nearest-neighbour index for monitoring spatial size diversity: The hyperbolic tangent index," Ecological Modelling, Elsevier, vol. 435(C).
  49. Raphaël Jauslin & Bardia Panahbehagh & Yves Tillé, 2022. "Sequential spatially balanced sampling," Environmetrics, John Wiley & Sons, Ltd., vol. 33(8), December.
  50. Robertson, Blair & Price, Chris, 2024. "One point per cluster spatially balanced sampling," Computational Statistics & Data Analysis, Elsevier, vol. 191(C).
  51. Wilmer Prentius, 2024. "Locally correlated Poisson sampling," Environmetrics, John Wiley & Sons, Ltd., vol. 35(2), March.
  52. R. Benedetti & F. Piersimoni & P. Postiglione, 2017. "Alternative and complementary approaches to spatially balanced samples," METRON, Springer;Sapienza Università di Roma, vol. 75(3), pages 249-264, December.
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