Relevant bibliographies by topics / Double sampling for stratification

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Double sampling for stratification'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Double sampling for stratification"

1

Westfall, James A., Andrew J. Lister, Charles T. Scott, and Thomas A. Weber. "Double sampling for post-stratification in forest inventory." European Journal of Forest Research 138, no. 3 (2019): 375–82. http://dx.doi.org/10.1007/s10342-019-01171-9.

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Fischer, Christoph, and Joachim Saborowski. "Estimating volume growth from successive double sampling for stratification." Canadian Journal of Forest Research 49, no. 9 (2019): 1052–59. http://dx.doi.org/10.1139/cjfr-2018-0520.

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Volume growth is a key indicator in forest management and planning and, accordingly, an integral part of the estimation procedure of forest resources from sample based inventories. Growth estimation from successive double sampling for stratification (2SS) is somewhat challenging and has not been sufficiently addressed in the pertinent literature. Applying 2SS on successive occasions, with updated stratification on each occasion, may lead to fluctuation of sampling units among the strata and to a certain number of sample plots that have to be discarded or that have to be newly established on th
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Saborowski, Joachim, Almuth Marx, Jürgen Nagel, and Thomas Böckmann. "Double sampling for stratification in periodic inventories—Infinite population approach." Forest Ecology and Management 260, no. 10 (2010): 1886–95. http://dx.doi.org/10.1016/j.foreco.2010.08.035.

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Fischer, Christoph, and Joachim Saborowski. "Variance estimation for mean growth from successive double sampling for stratification." Canadian Journal of Forest Research 50, no. 12 (2020): 1405–11. http://dx.doi.org/10.1139/cjfr-2020-0058.

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Double sampling for stratification (2SS) is a sampling design that is widely used for forest inventories. We present the mathematical derivation of two appropriate variance estimators for mean growth from repeated 2SS with updated stratification on each measurement occasion. Both estimators account for substratification based on the transition of sampling units among the strata due to the updated allocation. For the first estimator, sizes of the substrata were estimated from the second-phase sample (sample plots), whereas the respective sizes in the second variance estimator relied on the larg
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von Lüpke, Nikolas, and Joachim Saborowski. "Combining double sampling for stratification and cluster sampling to a three-level sampling design for continuous forest inventories." European Journal of Forest Research 133, no. 1 (2013): 89–100. http://dx.doi.org/10.1007/s10342-013-0743-9.

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Shaw, C. H., J. R. Boyle, and A. Y. Omule. "Estimating Forest Soil Carbon and Nitrogen Stocks with Double Sampling for Stratification." Soil Science Society of America Journal 72, no. 6 (2008): 1611–20. http://dx.doi.org/10.2136/sssaj2007.0219.

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Singh, Housila P., and Gajendra K. Vishwakarma. "A general procedure for estimating the mean using double sampling for stratification." Model Assisted Statistics and Applications 2, no. 4 (2008): 225–37. http://dx.doi.org/10.3233/mas-2007-2405.

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Anekeya Alilah, David. "Effects of Response Errors on Population Parameters in Double Sampling for Stratification." Science Journal of Applied Mathematics and Statistics 3, no. 2 (2015): 27. http://dx.doi.org/10.11648/j.sjams.20150302.11.

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Tripathi, T. P., and Shashi Bahl. "Estimation of mean using double sampling for stratification and multivariate auxiliary information." Communications in Statistics - Theory and Methods 20, no. 8 (1991): 2589–602. http://dx.doi.org/10.1080/03610929108830652.

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Tailor, Rajesh, Sunil Chouhan, and Jong-Min Kim. "Ratio and Product Type Exponential Estimators of Population Mean in Double Sampling for Stratification." Communications for Statistical Applications and Methods 21, no. 1 (2014): 1–9. http://dx.doi.org/10.5351/csam.2014.21.1.001.

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Dissertations / Theses on the topic "Double sampling for stratification"

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Lüpke, Nikolas von [Verfasser], Joachim [Akademischer Betreuer] Saborowski, and Jürgen [Akademischer Betreuer] Nagel. "Approaches for the optimisation of double sampling for stratification in repeated forest inventories / Nikolas von Lüpke. Gutachter: Joachim Saborowski ; Jürgen Nagel. Betreuer: Joachim Saborowski." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2013. http://d-nb.info/1044361735/34.

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Westfall, R. H. "Objectivity in stratification, sampling and classification of vegetation." Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-09032009-212008/.

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ARAUJO, AURELIA APARECIDA DE. "DOUBLE-SAMPLING CONTROL CHARTS FOR ATTRIBUTES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2005. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=6938@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>Nesta tese é proposta a incorporação da estratégia de amostragem dupla, já utilizada em inspeção de lotes, ao gráfico de controle de np (número de defeituosos), com o objetivo de aumentar a sua eficiência, ou seja, reduzir o número médio de amostras até a detecção de um descontrole (NMA1), sem aumentar o tamanho médio de amostra (TMA) nem reduzir o número médio de amostras até um alarme falso (NMA0). Alternativamente, este esquema pode ser usado para reduzir o custo de amostragem do gráfico de np, uma vez que para obter o
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Ghazali, Syed Shakir Ali. "Multiple stratification when one of the stratifying variables is time." Thesis, University of Southampton, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.316422.

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Corrow, Allissa. "DOUBLE SAMPLING FOR COARSE WOODY DEBRIS ESTIMATIONS FOLLOWING LINE INTERSECT SAMPLING." The University of Montana, 2010. http://etd.lib.umt.edu/theses/available/etd-06122010-133739/.

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Coarse woody debris (CWD), an essential component of healthy forests, has typically been defined as dead and down, large woody material. Quantification of this resource provides a useful metric for assessing wildlife habitat, fuel loading, and more recently, carbon sequestration. Although many CWD sampling methods exist, accurate estimation is difficult and expensive. Double sampling incorporates auxiliary data that is positively correlated with the attribute of interest as a means of reducing sampling costs and/or increasing estimation precision. The present study investigated double sampling
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Du, Juan. "Judgement post-stratification for designed experiments." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1148650477.

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Tan, Edith Estillore. "Design and regression estimation in double sampling." Diss., Virginia Polytechnic Institute and State University, 1987. http://hdl.handle.net/10919/74777.

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Two methods developed to improve regression estimation in double sampling under the superpopulation model approach are examined. One method proposes the use of an alternative double sample regression estimator. The other method recommends the use of nonrandom, purposive subsampling plans. Both methods aim to reduce the mean squared errors of regression estimators in double sampling. A major criticism against the superpopulation model approach is its strong dependence on the correctness of the assumed model. Thus, two purposive subsampling plans were considered. The first plan designed subsam
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Hayward, Michael Clifford. "A comparative study of optimal stratification in business and agricultural surveys." Thesis, University of Canterbury. Mathematics and Statistics, 2010. http://hdl.handle.net/10092/5697.

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This thesis is a comparative study of optimal design-based univariate stratification as applied to highly skewed populations such as those observed in business and agricultural surveys. Optimal stratification is a widely used method for reducing the variance or cost of estimates, and this work considers various optimal stratification algorithms, and in particular optimal boundary algorithms, to support this objective. We first provide a background to the theory of stratification and stratified random sampling, and extend this through the derivation of optimal allocation strategies. We then ex
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Wei, Ran. "On Estimation Problems in Network Sampling." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1471846863.

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Wang, Yi-Fu 1958. "Evaluation of correlated double sampling used with solid state imagers." Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/277187.

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Correlated double sampling (CDS) is a widely used signal processing technique for removal of the Nyquist (reset) noise which is associated with charge sensing circuits employed in a solid state imager. In this thesis work, the power spectral density at the output of a correlated double sampling circuit with first-order low-pass filtered white noise at the input is calculated. A circuit constructed with discrete elements is made to simulate the output stage of a charge-coupled device (CCD). A low-pass filtered wide-band noise from a noise generator is added to the reset reference level when the
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Books on the topic "Double sampling for stratification"

1

Dodge, Harold French. Sampling inspection tables: Single and double sampling. 2nd ed. Wiley, 1998.

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Station--Ogden, Rocky Mountain Research, ed. Double sampling for stratification: A forest inventory application in the Interior West. U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, 1998.

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Burns, Tom, and Mike Firn. Research and development. Edited by Tom Burns and Mike Firn. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198754237.003.0029.

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This chapter covers the spectrum of routine monitoring, audit, service evaluation, and formal research. Routine monitoring is an essential task for all mental health professionals, and techniques to make it more palatable are explored, including using routine data for clinical supervision and monitoring team targets. Regular audit is described as an essential tool for logical service development and quality improvement. In the discussion of research, the importance of choosing the correct methodology and of paying attention to detail are stressed. In community psychiatry, sampling bias, regres
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Book chapters on the topic "Double sampling for stratification"

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Di Lorenzo, Renato. "Double Sampling." In Perspectives in Business Culture. Springer Milan, 2012. http://dx.doi.org/10.1007/978-88-470-2534-9_16.

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Cumming, Jeffrey M., Bradley J. Sinclair, Charles A. Triplehorn, et al. "Double Sampling." In Encyclopedia of Entomology. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6359-6_980.

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Latpate, Raosaheb, Jayant Kshirsagar, Vinod Kumar Gupta, and Girish Chandra. "Double Sampling." In Advanced Sampling Methods. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0622-9_6.

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de Vries, Pieter G. "Two-Phase Sampling or Double Sampling." In Sampling Theory for Forest Inventory. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-71581-5_6.

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Latpate, Raosaheb, Jayant Kshirsagar, Vinod Kumar Gupta, and Girish Chandra. "Adaptive Cluster Double Sampling." In Advanced Sampling Methods. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0622-9_12.

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Latpate, Raosaheb, Jayant Kshirsagar, Vinod Kumar Gupta, and Girish Chandra. "Negative Adaptive Cluster Double Sampling." In Advanced Sampling Methods. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0622-9_17.

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Arbenz, Philipp, Mathieu Cambou, Marius Hofert, Christiane Lemieux, and Yoshihiro Taniguchi. "Importance Sampling and Stratification for Copula Models." In Contemporary Computational Mathematics - A Celebration of the 80th Birthday of Ian Sloan. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72456-0_4.

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Johnson, Norman L., Samuel Kotz, and Xizhi Wu. "Double and link sampling for acceptance." In Inspection Errors for Attributes in Quality Control. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-3196-2_4.

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Temes, Gabor C. "Autozeroing and Correlated Double Sampling Techniques." In Analog Circuit Design. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-2462-2_3.

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Kanagawa, A., and H. Ohta. "Determination of Sample Sizes for Double Sampling Attribute Plans." In Frontiers in Statistical Quality Control 5. Physica-Verlag HD, 1997. http://dx.doi.org/10.1007/978-3-642-59239-3_2.

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Conference papers on the topic "Double sampling for stratification"

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Nicolaidis, Michael. "Double-sampling architectures." In 2014 IEEE International Reliability Physics Symposium (IRPS). IEEE, 2014. http://dx.doi.org/10.1109/irps.2014.6860626.

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Mensah, Solomon, Jacky Keung, Michael Bosu, Kwabena Ebo Bennin, and Patrick Kwaku Kudjo. "A Stratification and Sampling Model for Bellwether Moving Window." In The 29th International Conference on Software Engineering and Knowledge Engineering. KSI Research Inc. and Knowledge Systems Institute Graduate School, 2017. http://dx.doi.org/10.18293/seke2017-126.

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Nicolaidis, Michael, and Michael Dimopoulos. "Advanced double-sampling architectures." In 2016 IEEE 22nd International Symposium on On-Line Testing and Robust System Design (IOLTS). IEEE, 2016. http://dx.doi.org/10.1109/iolts.2016.7604685.

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Afshari, Robab, Bahram Sadeghpour Gildeh, and Adel Ahmadi Nadi. "Fuzzy Double Variable Sampling Plan." In 2019 15th Iran International Industrial Engineering Conference (IIIEC). IEEE, 2019. http://dx.doi.org/10.1109/iiiec.2019.8720632.

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Hashim, Amir H., Zahrul F. Hussien, Daniel A. Sen, Hardeep S. Chahil, Muhamad Y. Abdullah, and Malik Mohamad. "Stratification&Sampling of Electricity Supply Customers for Outage Costs Survey." In 2006 IEEE International Power and Energy Conference. IEEE, 2006. http://dx.doi.org/10.1109/pecon.2006.346665.

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Lensky‬‏, Nadav G., Ali Arnon, and John S. Selker. "THERMOHALINE STRATIFICATION AND DOUBLE DIFFUSION DIAPYCNAL FLUXES IN THE HYPERSALINE DEAD SEA." In GSA Annual Meeting in Seattle, Washington, USA - 2017. Geological Society of America, 2017. http://dx.doi.org/10.1130/abs/2017am-300861.

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Boryan, Claire G., and Zhengwei Yang. "A new land cover classification based stratification method for area sampling frame construction." In 2012 First International Conference on Agro-Geoinformatics. IEEE, 2012. http://dx.doi.org/10.1109/agro-geoinformatics.2012.6311727.

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Cruz de la Torre, Carlos, and Juan de Vicente Albendea. "Digital correlated double sampling CCD readout characterization." In High Energy, Optical, and Infrared Detectors for Astronomy VIII, edited by Andrew D. Holland and James Beletic. SPIE, 2018. http://dx.doi.org/10.1117/12.2312498.

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Matteo Porro, Sven Herrmann, and Nicolas Hornel. "Multi correlated double sampling with exponential reset." In 2007 IEEE Nuclear Science Symposium Conference Record. IEEE, 2007. http://dx.doi.org/10.1109/nssmic.2007.4436333.

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Lamberti, Roland, Yohan Petetin, Francois Septier, and Francois Desbouvries. "A Double Proposal Normalized Importance Sampling Estimator." In 2018 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2018. http://dx.doi.org/10.1109/ssp.2018.8450849.

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Reports on the topic "Double sampling for stratification"

1

Chojnacky, David C. Double sampling for stratification: a forest inventory application in the Interior West. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 1998. http://dx.doi.org/10.2737/rmrs-rp-7.

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Ahmad, M., C. Marcotte, and R. S. Singh. Double Sampling in Estimation of a Ratio. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada160346.

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RASMUSSEN, J. H. Double Shell Tank (DST) Process Waste Sampling Subsystem Specification. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/803637.

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RASMUSSEN, J. H. Double Shell Tank (DST) Process Waste Sampling Subsystem Definition Report. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/803003.

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Harter, Rachel M., Pinliang (Patrick) Chen, Joseph P. McMichael, Edgardo S. Cureg, Samson A. Adeshiyan, and Katherine B. Morton. Constructing Strata of Primary Sampling Units for the Residential Energy Consumption Survey. RTI Press, 2017. http://dx.doi.org/10.3768/rtipress.2017.op.0041.1705.

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The 2015 Residential Energy Consumption Survey design called for stratification of primary sampling units to improve estimation. Two methods of defining strata from multiple stratification variables were proposed, leading to this investigation. All stratification methods use stratification variables available for the entire frame. We reviewed textbook guidance on the general principles and desirable properties of stratification variables and the assumptions on which the two methods were based. Using principal components combined with cluster analysis on the stratification variables to define s
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SASAKI, L. M. Double Shell Tank (DST) Ventilation System Vapor Sampling and Analysis Plan. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/803949.

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Gonzalez, Jhanis, Chunyi Liu, Jong Yoo, Xianglei Mao, and RickRick Russo. Solids sampling using double-pulse laser ablation inductivelycoupled plasma mass spectrometry. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/861019.

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Idakwo, Gabriel, Sundar Thangapandian, Joseph Luttrell, Zhaoxian Zhou, Chaoyang Zhang, and Ping Gong. Deep learning-based structure-activity relationship modeling for multi-category toxicity classification : a case study of 10K Tox21 chemicals with high-throughput cell-based androgen receptor bioassay data. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41302.

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Deep learning (DL) has attracted the attention of computational toxicologists as it offers a potentially greater power for in silico predictive toxicology than existing shallow learning algorithms. However, contradicting reports have been documented. To further explore the advantages of DL over shallow learning, we conducted this case study using two cell-based androgen receptor (AR) activity datasets with 10K chemicals generated from the Tox21 program. A nested double-loop cross-validation approach was adopted along with a stratified sampling strategy for partitioning chemicals of multiple AR
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Leis, Sherry. Vegetation community monitoring at Lincoln Boyhood National Memorial: 2011–2019. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2284711.

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Lincoln Boyhood National Memorial celebrates the lives of the Lincoln family including the final resting place of Abraham’s mother, Nancy Hanks Lincoln. Lincoln’s childhood in Indiana was a formative time in the life our 16th president. When the Lincoln family arrived in Indiana, the property was covered in the oak-hickory forest type. They cleared land to create their homestead and farm. Later, designers of the memorial felt that it was important to restore woodlands to the site. The woodlands would help visitors visualize the challenges the Lincoln family faced in establishing and maintainin
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