最近30从www.hoelymoley.com 2023 - 07 - 09 - t15:17:46z //www.hoelymoley.com/feeds/question/8927 https://creativecommons.org/licenses/by-sa/4.0/rdf //www.hoelymoley.com/q/8927 5 怪不得我 //www.hoelymoley.com/users/6643 2016 - 10 - 20 - t12:18:23z 2018 - 02 - 16 - t09:43:09z

< p >我在找一个数据集(几乎任何格式)据美国农业部土壤质地分类(美国农业部)。有什么能够覆盖整个欧洲?< / p > < p >我发现< a href = " http://esdac.jrc.ec.europa。eu/content/topsoil-physical-properties-europe-based-lucas-topsoil-data#tabs-0-description=1&tabs-0-description-2=" rel="nofollow noreferrer">Topsoil physical properties for Europe (based on LUCAS topsoil data) dataset from the European Soil Data Centre (ESDAC), which would suit my needs perfectly, except that it only covers the EU member countries and thus some countries are missing.

//www.hoelymoley.com/questions/8927/-/9270 # 9270 3 怪不得我 //www.hoelymoley.com/users/6643 2016 - 12 - 09 - t10:31:13z 2018 - 02 - 16 - t09:43:09z

< p > lenghty成功搜索之后,我发现了一个选项来做我自己的映射。有< a href = " http://globalchange.bnu.edu.cn/research/soilw " rel = " nofollow noreferrer " >全球数据集的比例粘土、淤泥和粘土< / >可以从Land-Atmosphere交互中山大学研究小组和我使用了< a href = " https://cran.r-project.org/web/packages/soiltexture/soiltexture.pdf " rel = " nofollow noreferrer " > < / > R soiltexture包分类。我最后做一个数据集覆盖我的域的兴趣2公里分辨率。我附上地图和原始地图中提到的问题比较(有些颜色是有点,但他们应该或多或少都对应于同一类别图像)。如果有人感兴趣这些数据,随时让我知道。< a href = " https://i.stack.imgur.com/RhFAz.png " rel = " nofollow noreferrer " > < img src = " https://i.stack.imgur.com/RhFAz.png " alt = "自定义映射" > < / >我的自定义映射。< / p > < p > < a href = " https://i.stack.imgur.com/zZYRc.png " rel = " nofollow noreferrer " > < img src = " https://i.stack.imgur.com/zZYRc.png " alt =“原始数据集从欧洲土壤数据中心(ESDAC)”> < / >土壤原始数据集从欧洲数据中心(ESDAC) < / p >

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