update README

caf-ifrit · May 23, 2023 · d69097f · d69097f
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diff --git a/README.en-US.md b/README.en-US.md
@@ -1,7 +1,7 @@
 # <div align="center"><strong>Evaluating Forest Quality with Forestat</strong></div>
 
-<p align="right"><strong>Forestat version:</strong> 0.1.0</p>
-<p align="right"><strong>Date:</strong> 04/22/2023 </p>
+<p align="right"><strong>Forestat version:</strong> 1.0.0</p>
+<p align="right"><strong>Date:</strong> 05/22/2023 </p>
 <br>
 
 *`Forestat`* is an R package developed based on the Institute of Forest Resource Information Techniques, Chinese Academy of Forestry's "Natural Forest Stand Quality Evaluation Method" [<sup>[1]</sup>](#citation). Its functions include the classification of natural forest stand height, establishment of tree height models, sectional area growth models, and stock growth models, as well as the calculation of forest actual productivity and potential productivity. Using *`Forestat`* can provide reliable basis for accurately improving forest quality.
@@ -109,7 +109,8 @@ data("forestData")
 # Or read the forestat.csv sample data included in the package
 forestData <- read.csv(system.file("extdata", "forestData.csv", package = "forestat"))
 
-# Select the ID, code, AGE, H, S, BA, and Bio fields from the forestData sample data and view the first 6 rows of data
+# Select the ID, code, AGE, H, S, BA, and Bio fields from the forestData sample data
+# and view the first 6 rows of data
 head(dplyr::select(forestData, ID, code, AGE, H, S, BA, Bio))
 
 # Output

diff --git a/README.md b/README.md
@@ -1,7 +1,7 @@
 # <div align="center"><strong>使用 Forestat 评估森林质量</strong></div>
 
-<p align="right"><strong>Forestat version:</strong> 0.1.0</p>
-<p align="right"><strong>Date:</strong> 04/22/2023 </p>
+<p align="right"><strong>Forestat version:</strong> 1.0.0</p>
+<p align="right"><strong>Date:</strong> 05/22/2023 </p>
 <br>
 
 *`forestat`* 是基于中国林业科学研究院资源信息研究所（Institute of Forest Resource Information Techniques, Chinese Academy of Forestry）的`天然林立地质量评价方法`[<sup>[1]</sup>](#citation)开发的R包。实现的功能包括天然林立地树高分级的划分，树高模型、断面积生长模型、蓄积生长模型的建立，森林现实生产力与潜在生产力的计算。使用 *`forestat`* 包可以为精准提升森林质量提供可靠依据。
@@ -110,7 +110,8 @@ data("forestData")
 # 或者读取包中 forestat.csv 样例数据
 forestData <- read.csv(system.file("extdata", "forestData.csv", package = "forestat"))
 
-# 筛选 forestData 样例数据中ID、code、AGE、H、S、BA 和 Bio字段，并查看前6行数据
+# 筛选 forestData 样例数据中ID、code、AGE、H、S、BA 和 Bio字段
+# 并查看前6行数据
 head(dplyr::select(forestData,ID,code,AGE,H,S,BA,Bio))
 
 # 输出