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Selection Method for Height-Diameter Curves and Its Application to the Data of Sugi (Cryptomeria japonica) in Japan 高度-直径曲线的选择方法及其在日本杉树数据中的应用
FORMATH Pub Date : 2023-12-15 DOI: 10.15684/formath.22.002
K. Kamo, T. Tonda, Masayoshi Takahashi, Naoto Matsumura
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引用次数: 0
A Note on Statistical Techniques and Biological Background in Analysis of Remote Sensed Data in Forest Inventory 森林清查中遥感数据分析的统计技术和生物学背景说明
FORMATH Pub Date : 2023-01-01 DOI: 10.15684/formath.22.003
Peter Surový, Zlatica Melichová
{"title":"A Note on Statistical Techniques and Biological Background in Analysis of Remote Sensed Data in Forest Inventory","authors":"Peter Surový, Zlatica Melichová","doi":"10.15684/formath.22.003","DOIUrl":"https://doi.org/10.15684/formath.22.003","url":null,"abstract":"In this work we discuss possibilities and challenges in utilization of several statistical methods for assessment of forest resources related to forest inventories, especially question of dataset size where the time and resources required for data collection are often in contrast to sample size and analysis of all potential parameters of potential models. The combination of a priori knowledge of the phenomena being studied (tree number, wood volume…) and understanding of behavior of individual variables provided by remote sensing instruments (different predictor variables) is crucial for production of reliable models for forest resource assessment. Using our dataset we compared two regression techniques and one machine learning for predictor analysis for wood volume estimation. All techniques in general provided similar results in terms of variable importance and accuracy, but in more detailed analysis differences appeared, indicating that if possible biological knowledge and understanding of variables should not be neglected.","PeriodicalId":480341,"journal":{"name":"FORMATH","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135057344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Statistical Inference for Diameter-Height Curves using Varying Coefficient Model 变系数模型对径高曲线的统计推断
FORMATH Pub Date : 2023-01-01 DOI: 10.15684/formath.22.001
Tetsuji Tonda, Ken-ichi Kamo, Masayoshi Takahashi
{"title":"Statistical Inference for Diameter-Height Curves using Varying Coefficient Model","authors":"Tetsuji Tonda, Ken-ichi Kamo, Masayoshi Takahashi","doi":"10.15684/formath.22.001","DOIUrl":"https://doi.org/10.15684/formath.22.001","url":null,"abstract":"Diameter-height curve is a function that defines the relationship between diameter at breast height and tree height. It is the mean trend on a scatter plot that shows the relationship between tree diameter at breast height and tree height. This curve shifts to the upper right corner as the tree ages in a uniformly aged plantation forest. Hence, it is commonly used to estimate the parameters of a model that describes the diameter-height curve by tree age. The transition in diameter-height curve with age can be interpreted as a change in the parameters of the model over time. However, the behavior of the parameters estimated independently from age-specific data may not accurately capture the features in the transition of the diameter-height curves, due to the variabilities of observations within each age of a forest stand. Against this background, in this paper, we introduce varying coefficients into the regression model for diameter-height curve to describe the transition of diameter-height curves as a function of time. The proposed method is then applied to a forest growth data of sugi (Cryptomeria japonica) stand in a village in Hoshino, Japan.","PeriodicalId":480341,"journal":{"name":"FORMATH","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135800156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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