| Year |
Citation |
Score |
| 2023 |
Doser JW, Finley AO, Banerjee S. Joint species distribution models with imperfect detection for high-dimensional spatial data. Ecology. e4137. PMID 37424187 DOI: 10.1002/ecy.4137 |
0.344 |
|
| 2022 |
Heilman KA, Dietze MC, Arizpe AA, Aragon J, Gray A, Shaw JD, Finley AO, Klesse S, DeRose RJ, Evans MEK. Ecological forecasting of tree growth: Regional fusion of tree-ring and forest inventory data to quantify drivers and characterize uncertainty. Global Change Biology. PMID 35023229 DOI: 10.1111/gcb.16038 |
0.403 |
|
| 2021 |
Doser JW, Weed AS, Zipkin EF, Miller KM, Finley AO. Trends in bird abundance differ among protected forests but not bird guilds. Ecological Applications : a Publication of the Ecological Society of America. e2377. PMID 33988277 DOI: 10.1002/eap.2377 |
0.366 |
|
| 2021 |
Stanke H, Finley AO, Domke GM, Weed AS, MacFarlane DW. Over half of western United States' most abundant tree species in decline. Nature Communications. 12: 451. PMID 33469023 DOI: 10.1038/s41467-020-20678-z |
0.65 |
|
| 2021 |
Henry CR, Walters MB, Finley AO, Roloff GJ, Farinosi EJ. Complex drivers of sugar maple (Acer saccharum) regeneration reveal challenges to long-term sustainability of managed northern hardwood forests Forest Ecology and Management. 479: 118541. DOI: 10.1016/J.Foreco.2020.118541 |
0.445 |
|
| 2020 |
Peruzzi M, Banerjee S, Finley AO. Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains. Journal of the American Statistical Association. 117: 969-982. PMID 35935897 DOI: 10.1080/01621459.2020.1833889 |
0.335 |
|
| 2020 |
Pham LT, Luo L, Finley AO. Evaluation of Random Forest for short-term daily streamflow forecast in rainfall and snowmelt driven watersheds Hydrology and Earth System Sciences Discussions. 1-33. DOI: 10.5194/Hess-2020-305 |
0.446 |
|
| 2020 |
Read QD, Zarnetske PL, Record S, Dahlin KM, Costanza JK, Finley AO, Gaddis KD, Grady JM, Hobi ML, Latimer AM, Malone SL, Ollinger SV, Pau S, Wilson AM. Beyond counts and averages: Relating geodiversity to dimensions of biodiversity Global Ecology and Biogeography. 29: 696-710. DOI: 10.1111/Geb.13061 |
0.507 |
|
| 2020 |
Teimouri M, Doser JW, Finley AO. ForestFit: An R package for modeling plant size distributions Environmental Modelling & Software. 131: 104668. DOI: 10.1016/J.Envsoft.2020.104668 |
0.398 |
|
| 2020 |
Stanke H, Finley AO, Weed AS, Walters BF, Domke GM. rFIA: An R package for estimation of forest attributes with the US Forest Inventory and Analysis database Environmental Modelling & Software. 127: 104664. DOI: 10.1016/J.Envsoft.2020.104664 |
0.678 |
|
| 2020 |
Finley AO, Banerjee S. Bayesian spatially varying coefficient models in the spBayes R package Environmental Modelling & Software. 125: 104608. DOI: 10.1016/J.Envsoft.2019.104608 |
0.412 |
|
| 2020 |
Doser JW, Finley AO, Kasten EP, Gage SH. Assessing soundscape disturbance through hierarchical models and acoustic indices: A case study on a shelterwood logged northern Michigan forest Ecological Indicators. 113: 106244. DOI: 10.1016/J.Ecolind.2020.106244 |
0.426 |
|
| 2020 |
Doser JW, Hannam KM, Finley AO. Characterizing functional relationships between anthropogenic and biological sounds: a western New York state soundscape case study Landscape Ecology. 35: 689-707. DOI: 10.1007/S10980-020-00973-2 |
0.373 |
|
| 2019 |
Taylor-Rodriguez D, Finley AO, Datta A, Babcock C, Andersen HE, Cook BD, Morton DC, Banerjee S. Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping. Statistica Sinica. 29: 1155-1180. PMID 33311955 DOI: 10.5705/Ss.202018.0005 |
0.538 |
|
| 2019 |
Finley AO, Datta A, Cook BC, Morton DC, Andersen HE, Banerjee S. Efficient algorithms for Bayesian Nearest Neighbor Gaussian Processes. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 28: 401-414. PMID 31543693 DOI: 10.1080/10618600.2018.1537924 |
0.426 |
|
| 2019 |
Heaton MJ, Datta A, Finley AO, Furrer R, Guinness J, Guhaniyogi R, Gerber F, Gramacy RB, Hammerling D, Katzfuss M, Lindgren F, Nychka DW, Sun F, Zammit-Mangion A. A Case Study Competition Among Methods for Analyzing Large Spatial Data. Journal of Agricultural, Biological, and Environmental Statistics. 24: 398-425. PMID 31496633 DOI: 10.1007/S13253-018-00348-W |
0.406 |
|
| 2019 |
Zarnetske PL, Read QD, Record S, Gaddis KD, Pau S, Hobi ML, Malone SL, Costanza J, M Dahlin K, Latimer AM, Wilson AM, Grady JM, Ollinger SV, Finley AO. Towards connecting biodiversity and geodiversity across scales with satellite remote sensing. Global Ecology and Biogeography : a Journal of Macroecology. 28: 548-556. PMID 31217748 DOI: 10.1111/Geb.12887 |
0.378 |
|
| 2019 |
Itter MS, Vanhatalo J, Finley AO. EcoMem: An R package for quantifying ecological memory Environmental Modelling & Software. 119: 305-308. DOI: 10.1016/J.Envsoft.2019.06.004 |
0.314 |
|
| 2018 |
Finley AO, Forsythe PS, Crossman JA, Baker EA, Scribner KT. Assessing impact of exogenous features on biotic phenomena in the presence of strong spatial dependence: A lake sturgeon case study in natural stream settings. Plos One. 13: e0204150. PMID 30517091 DOI: 10.1371/Journal.Pone.0204150 |
0.479 |
|
| 2018 |
Itter MS, D'Orangeville L, Dawson A, Kneeshaw D, Duchesne L, Finley AO. Boreal tree growth exhibits decadal‐scale ecological memory to drought and insect defoliation, but no negative response to their interaction Journal of Ecology. 107: 1288-1301. DOI: 10.1111/1365-2745.13087 |
0.425 |
|
| 2018 |
Babcock C, Finley AO, Andersen H, Pattison R, Cook BD, Morton DC, Alonzo M, Nelson R, Gregoire T, Ene L, Gobakken T, Næsset E. Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations Remote Sensing of Environment. 212: 212-230. DOI: 10.1016/J.Rse.2018.04.044 |
0.537 |
|
| 2018 |
Ver Planck NR, Finley AO, Kershaw JA, Weiskittel AR, Kress MC. Hierarchical Bayesian models for small area estimation of forest variables using LiDAR Remote Sensing of Environment. 204: 287-295. DOI: 10.1016/J.Rse.2017.10.024 |
0.527 |
|
| 2017 |
Itter MS, Finley AO, D'Amato AW, Foster JR, Bradford JB. Variable Effects of Climate on Forest Growth in Relation to Climate Extremes, Disturbance, and Forest Dynamics. Ecological Applications : a Publication of the Ecological Society of America. PMID 28182303 DOI: 10.1002/Eap.1518 |
0.459 |
|
| 2017 |
Ver Planck NR, Finley AO, Huff ES. Hierarchical Bayesian models for small area estimation of county-level private forest landowner population Canadian Journal of Forest Research. 47: 1577-1589. DOI: 10.1139/Cjfr-2017-0154 |
0.437 |
|
| 2017 |
Finley AO, Banerjee S, Zhou Y, Cook BD, Babcock C. Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables Remote Sensing of Environment. 190: 149-161. DOI: 10.1016/J.Rse.2016.12.004 |
0.548 |
|
| 2017 |
Itter MS, Finley AO, Hooten MB, Higuera PE, Marlon JR, Kelly R, McLachlan JS. A model-based approach to wildland fire reconstruction using sediment charcoal records Environmetrics. 28: e2450. DOI: 10.1002/Env.2450 |
0.384 |
|
| 2016 |
Datta A, Banerjee S, Finley AO, Gelfand AE. Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets. Journal of the American Statistical Association. 111: 800-812. PMID 29720777 DOI: 10.1080/01621459.2015.1044091 |
0.505 |
|
| 2016 |
Datta A, Banerjee S, Finley AO, Gelfand AE. On nearest-neighbor Gaussian process models for massive spatial data. Wiley Interdisciplinary Reviews. Computational Statistics. 8: 162-171. PMID 29657666 DOI: 10.1002/Wics.1383 |
0.437 |
|
| 2016 |
Datta A, Banerjee S, Finley AO, Hamm NAS, Schaap M. NONSEPARABLE DYNAMIC NEAREST NEIGHBOR GAUSSIAN PROCESS MODELS FOR LARGE SPATIO-TEMPORAL DATA WITH AN APPLICATION TO PARTICULATE MATTER ANALYSIS. The Annals of Applied Statistics. 10: 1286-1316. PMID 29657659 DOI: 10.1214/16-Aoas931 |
0.408 |
|
| 2016 |
Record S, Kobe RK, Vriesendorp CF, Finley AO. Seedling survival responses to conspecific density, soil nutrients, and irradiance vary with age in a tropical forest. Ecology. 97: 2406-2415. PMID 27859074 DOI: 10.1002/Ecy.1458 |
0.379 |
|
| 2016 |
Fergus CE, Finley AO, Soranno PA, Wagner T. Spatial Variation in Nutrient and Water Color Effects on Lake Chlorophyll at Macroscales. Plos One. 11: e0164592. PMID 27736962 DOI: 10.1371/Journal.Pone.0164592 |
0.353 |
|
| 2016 |
Ver Planck NR, Metcalf AL, Finley AO, Finley JC. Evaluation of the USDA Forest Service National Woodland Owner Survey Estimators for Private Forest Area and Landowners: A Case Study of Montana Forest Science. 62: 525-534. DOI: 10.5849/Forsci.15-196 |
0.415 |
|
| 2016 |
Babcock C, Finley AO, Cook BD, Weiskittel A, Woodall CW. Modeling forest biomass and growth: Coupling long-term inventory and LiDAR data Remote Sensing of Environment. 182: 1-12. DOI: 10.1016/J.Rse.2016.04.014 |
0.538 |
|
| 2016 |
Jarzyna MA, Zuckerberg B, Finley AO, Porter WF. Synergistic effects of climate and land cover: grassland birds are more vulnerable to climate change Landscape Ecology. 31: 2275-2290. DOI: 10.1007/S10980-016-0399-1 |
0.357 |
|
| 2016 |
Salazar E, Hammerling D, Wang X, Sansó B, Finley AO, Mearns LO. Observation-based blended projections from ensembles of regional climate models Climatic Change. 138: 55-69. DOI: 10.1007/S10584-016-1722-1 |
0.393 |
|
| 2015 |
Foster JR, Finley AO, D'amato AW, Bradford JB, Banerjee S. Predicting tree biomass growth in the temperate-boreal ecotone: is tree size, age, competition or climate response most important? Global Change Biology. PMID 26717889 DOI: 10.1111/Gcb.13208 |
0.452 |
|
| 2015 |
Campbell LP, Finley AO, Benbow ME, Gronseth J, Small P, Johnson RC, Sopoh GE, Merritt RM, Williamson H, Qi J. Spatial Analysis of Anthropogenic Landscape Disturbance and Buruli Ulcer Disease in Benin. Plos Neglected Tropical Diseases. 9: e0004123. PMID 26474482 DOI: 10.1371/Journal.Pntd.0004123 |
0.446 |
|
| 2015 |
Jarzyna MA, Porter WF, Maurer BA, Zuckerberg B, Finley AO. Landscape fragmentation affects responses of avian communities to climate change. Global Change Biology. 21: 2942-53. PMID 25644514 DOI: 10.1111/Gcb.12885 |
0.371 |
|
| 2015 |
Finley AO, Banerjee S, Gelfand AE. spBayes for large univariate and multivariate point-referenced spatio-temporal data models Journal of Statistical Software. 63: 1-28. DOI: 10.18637/Jss.V063.I13 |
0.389 |
|
| 2015 |
Jarzyna MA, Zuckerberg B, Porter WF, Finley AO, Maurer BA. Spatial scaling of temporal changes in avian communities Global Ecology and Biogeography. 24: 1236-1248. DOI: 10.1111/Geb.12361 |
0.385 |
|
| 2015 |
Junttila V, Kauranne T, Finley AO, Bradford JB. Linear Models for Airborne-Laser-Scanning-Based Operational Forest Inventory With Small Field Sample Size and Highly Correlated LiDAR Data Ieee Transactions On Geoscience and Remote Sensing. 53: 5600-5612. DOI: 10.1109/Tgrs.2015.2425916 |
0.511 |
|
| 2015 |
Babcock C, Finley AO, Bradford JB, Kolka R, Birdsey R, Ryan MG. LiDAR based prediction of forest biomass using hierarchical models with spatially varying coefficients Remote Sensing of Environment. 169: 113-127. DOI: 10.1016/J.Rse.2015.07.028 |
0.535 |
|
| 2015 |
Pastick NJ, Jorgenson MT, Wylie BK, Nield SJ, Johnson KD, Finley AO. Distribution of near-surface permafrost in Alaska: Estimates of present and future conditions Remote Sensing of Environment. 168: 301-315. DOI: 10.1016/J.Rse.2015.07.019 |
0.387 |
|
| 2015 |
Hamm NAS, Finley AO, Schaap M, Stein A. A spatially varying coefficient model for mapping PM10 air quality at the European scale Atmospheric Environment. 102: 393-405. DOI: 10.1016/J.Atmosenv.2014.11.043 |
0.403 |
|
| 2014 |
Johnson KD, Birdsey R, Finley AO, Swantaran A, Dubayah R, Wayson C, Riemann R. Integrating forest inventory and analysis data into a LIDAR-based carbon monitoring system. Carbon Balance and Management. 9: 3. PMID 24826196 DOI: 10.1186/1750-0680-9-3 |
0.413 |
|
| 2014 |
Levy O, Ball BA, Bond-Lamberty B, Cheruvelil KS, Finley AO, Lottig NR, Punyasena SW, Xiao J, Zhou J, Buckley LB, Filstrup CT, Keitt TH, Kellner JR, Knapp AK, Richardson AD, et al. Approaches to advance scientific understanding of macrosystems ecology Frontiers in Ecology and the Environment. 12: 15-23. DOI: 10.1890/130019 |
0.371 |
|
| 2014 |
Jarzyna MA, Finley AO, Porter WF, Maurer BA, Beier CM, Zuckerberg B. Accounting for the space-varying nature of the relationships between temporal community turnover and the environment Ecography. DOI: 10.1111/Ecog.00747 |
0.477 |
|
| 2014 |
Finley AO, Banerjee S, Cook BD. Bayesian hierarchical models for spatially misaligned data in R Methods in Ecology and Evolution. 5: 514-523. DOI: 10.1111/2041-210X.12189 |
0.432 |
|
| 2014 |
Finley AO, Banerjee S, Weiskittel AR, Babcock C, Cook BD. Dynamic spatial regression models for space-varying forest stand tables Environmetrics. 25: 596-609. DOI: 10.1002/Env.2322 |
0.569 |
|
| 2013 |
Swanson AK, Dobrowski SZ, Finley AO, Thorne JH, Schwartz MK. Spatial regression methods capture prediction uncertainty in species distribution model projections through time Global Ecology and Biogeography. 22: 242-251. DOI: 10.1111/J.1466-8238.2012.00794.X |
0.44 |
|
| 2013 |
Record S, Fitzpatrick MC, Finley AO, Veloz S, Ellison AM. Should species distribution models account for spatial autocorrelation? A test of model projections across eight millennia of climate change Global Ecology and Biogeography. 22: 760-771. DOI: 10.1111/Geb.12017 |
0.415 |
|
| 2013 |
Babcock C, Matney J, Finley AO, Weiskittel A, Cook BD. Multivariate spatial regression models for predicting individual tree structure variables using LiDAR data Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6: 6-14. DOI: 10.1109/Jstars.2012.2215582 |
0.554 |
|
| 2013 |
Finley AO, Banerjee S, Cook BD, Bradford JB. Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets International Journal of Applied Earth Observation and Geoinformation. 22: 147-160. DOI: 10.1016/J.Jag.2012.04.007 |
0.577 |
|
| 2013 |
Junttila V, Finley AO, Bradford JB, Kauranne T. Strategies for minimizing sample size for use in airborne LiDAR-based forest inventory Forest Ecology and Management. 292: 75-85. DOI: 10.1016/J.Foreco.2012.12.019 |
0.533 |
|
| 2013 |
Guhaniyogi R, Finley AO, Banerjee S, Kobe RK. Modeling Complex Spatial Dependencies: Low-Rank Spatially Varying Cross-Covariances With Application to Soil Nutrient Data Journal of Agricultural, Biological, and Environmental Statistics. 18: 274-298. DOI: 10.1007/S13253-013-0140-3 |
0.454 |
|
| 2012 |
Baribault TW, Kobe RK, Finley AO. Tropical tree growth is correlated with soil phosphorus, potassium, and calcium, though not for legumes Ecological Monographs. 82: 189-203. DOI: 10.1890/11-1013.1 |
0.326 |
|
| 2012 |
Eidsvik J, Finley AO, Banerjee S, Rue H. Approximate Bayesian inference for large spatial datasets using predictive process models Computational Statistics & Data Analysis. 56: 1362-1380. DOI: 10.1016/J.Csda.2011.10.022 |
0.483 |
|
| 2012 |
Finley AO, Banerjee S, Gelfand AE. Bayesian dynamic modeling for large space-time datasets using Gaussian predictive processes Journal of Geographical Systems. 14: 29-47. DOI: 10.1007/S10109-011-0154-8 |
0.393 |
|
| 2011 |
Finley AO, Banerjee S, MacFarlane DW. A Hierarchical Model for Quantifying Forest Variables Over Large Heterogeneous Landscapes With Uncertain Forest Areas. Journal of the American Statistical Association. 106: 31-48. PMID 26139950 DOI: 10.1198/Jasa.2011.Ap09653 |
0.542 |
|
| 2011 |
Guhaniyogi R, Finley AO, Banerjee S, Gelfand AE. Adaptive Gaussian Predictive Process Models for Large Spatial Datasets. Environmetrics. 22: 997-1007. PMID 22298952 DOI: 10.1002/Env.1131 |
0.474 |
|
| 2011 |
Ren Q, Banerjee S, Finley AO, Hodges JS. Variational Bayesian methods for spatial data analysis Computational Statistics and Data Analysis. 55: 3197-3217. DOI: 10.1016/J.Csda.2011.05.021 |
0.463 |
|
| 2011 |
Salazar E, Sansó B, Finley AO, Hammerling D, Steinsland I, Wang X, Delamater P. Comparing and Blending Regional Climate Model Predictions for the American Southwest Journal of Agricultural, Biological, and Environmental Statistics. 16: 586-605. DOI: 10.1007/S13253-011-0074-6 |
0.407 |
|
| 2011 |
Finley AO, Banerjee S, Basso B. Improving Crop Model Inference Through Bayesian Melding With Spatially Varying Parameters Journal of Agricultural, Biological, and Environmental Statistics. 16: 453-474. DOI: 10.1007/S13253-011-0070-X |
0.469 |
|
| 2010 |
Banerjee S, Finley AO, Waldmann P, Ericsson T. Hierarchical Spatial Process Models for Multiple Traits in Large Genetic Trials. Journal of the American Statistical Association. 105: 506-521. PMID 20676229 DOI: 10.1198/Jasa.2009.Ap09068 |
0.451 |
|
| 2010 |
Finley AO. Comparing spatially-varying coefficients models for analysis of ecological data with non-stationary and anisotropic residual dependence Methods in Ecology and Evolution. 2: 143-154. DOI: 10.1111/J.2041-210X.2010.00060.X |
0.476 |
|
| 2010 |
Muñoz JD, Finley AO, Gehl R, Kravchenko S. Nonlinear hierarchical models for predicting cover crop biomass using Normalized Difference Vegetation Index Remote Sensing of Environment. 114: 2833-2840. DOI: 10.1016/J.Rse.2010.06.011 |
0.445 |
|
| 2010 |
Woodall CW, Oswalt CM, Westfall JA, Perry CH, Nelson MD, Finley AO. Selecting tree species for testing climate change migration hypotheses using forest inventory data Forest Ecology and Management. 259: 778-785. DOI: 10.1016/J.Foreco.2009.07.022 |
0.424 |
|
| 2009 |
Finley AO, Banerjee S, McRoberts RE. HIERARCHICAL SPATIAL MODELS FOR PREDICTING TREE SPECIES ASSEMBLAGES ACROSS LARGE DOMAINS. The Annals of Applied Statistics. 3: 1052-1079. PMID 20352037 DOI: 10.1214/09-Aoas250 |
0.566 |
|
| 2009 |
Finley AO, Sang H, Banerjee S, Gelfand AE. Improving the performance of predictive process modeling for large datasets. Computational Statistics & Data Analysis. 53: 2873-2884. PMID 20016667 DOI: 10.1016/J.Csda.2008.09.008 |
0.469 |
|
| 2009 |
Finley AO, Banerjee S, Waldmann P, Ericsson T. Hierarchical spatial modeling of additive and dominance genetic variance for large spatial trial datasets. Biometrics. 65: 441-51. PMID 18759829 DOI: 10.1111/J.1541-0420.2008.01115.X |
0.458 |
|
| 2009 |
Woodall CW, Oswalt CM, Westfall JA, Perry CH, Nelson MD, Finley AO. An indicator of tree migration in forests of the eastern United States Forest Ecology and Management. 257: 1434-1444. DOI: 10.1016/J.Foreco.2008.12.013 |
0.443 |
|
| 2009 |
Clark S, Finley AO. Spatial Modelling of Car Ownership Data: A Case Study from the United Kingdom Applied Spatial Analysis and Policy. 3: 45-65. DOI: 10.1007/S12061-009-9030-Z |
0.473 |
|
| 2008 |
Banerjee S, Gelfand AE, Finley AO, Sang H. Gaussian predictive process models for large spatial data sets. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 70: 825-848. PMID 19750209 DOI: 10.1111/J.1467-9868.2008.00663.X |
0.472 |
|
| 2008 |
Liang S, Banerjee S, Bushhouse S, Finley A, Carlin BP. Hierarchical Multiresolution Approaches for Dense Point-Level Breast Cancer Treatment Data. Computational Statistics & Data Analysis. 52: 2650-2668. PMID 19158942 DOI: 10.1016/J.Csda.2007.09.011 |
0.379 |
|
| 2008 |
Crookston NL, Finley AO. yaImpute: AnRPackage forkNN Imputation Journal of Statistical Software. 23. DOI: 10.18637/Jss.V023.I10 |
0.422 |
|
| 2008 |
Finley AO, Banerjee S, Ek AR, McRoberts RE. Bayesian multivariate process modeling for prediction of forest attributes Journal of Agricultural, Biological, and Environmental Statistics. 13: 60-83. DOI: 10.1198/108571108X273160 |
0.74 |
|
| 2008 |
Finley AO, McRoberts RE. Efficient k-nearest neighbor searches for multi-source forest attribute mapping Remote Sensing of Environment. 112: 2203-2211. DOI: 10.1016/J.Rse.2007.08.024 |
0.395 |
|
| 2007 |
Finley AO, Banerjee S, Carlin BP. spBayes: An R Package for Univariate and Multivariate Hierarchical Point-referenced Spatial Models. Journal of Statistical Software. 19: 1-24. PMID 21494410 DOI: 10.18637/Jss.V019.I04 |
0.447 |
|
| 2007 |
McRoberts RE, Tomppo EO, Finley AO, Heikkinen J. Estimating areal means and variances of forest attributes using the k-Nearest Neighbors technique and satellite imagery Remote Sensing of Environment. 111: 466-480. DOI: 10.1016/J.Rse.2007.04.002 |
0.44 |
|
| 2007 |
Banerjee S, Finley A. Bayesian multi-resolution modeling for spatially replicated data sets with application to forest biomass data Journal of Statistical Planning and Inference. 137: 3193-3205. DOI: 10.1016/J.Jspi.2006.05.024 |
0.56 |
|
| 2007 |
Finley AO, Banerjee S, McRoberts RE. A Bayesian approach to multi-source forest area estimation Environmental and Ecological Statistics. 15: 241-258. DOI: 10.1007/S10651-007-0049-5 |
0.545 |
|
| 2006 |
Finley AO, Kittredge DB. Thoreau, Muir, and Jane Doe: Different Types of Private Forest Owners Need Different Kinds of Forest Management Northern Journal of Applied Forestry. 23: 27-34. DOI: 10.1093/Njaf/23.1.27 |
0.431 |
|
| 2004 |
Haapanen R, Ek AR, Bauer ME, Finley AO. Delineation of forest/nonforest land use classes using nearest neighbor methods Remote Sensing of Environment. 89: 265-271. DOI: 10.1016/J.Rse.2003.10.002 |
0.69 |
|
| 2003 |
Kittredge DB, Finley AO, Foster DR. Timber harvesting as ongoing disturbance in a landscape of diverse ownership Forest Ecology and Management. 180: 425-442. DOI: 10.1016/S0378-1127(02)00561-3 |
0.495 |
|
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