什么样的数据是最好的玫瑰图所示?- 江南体育网页版- - - - -地球科学堆江南电子竞技平台栈交换 最近30从www.hoelymoley.com 2023 - 07 - 09 - t22:54:46z //www.hoelymoley.com/feeds/question/6646 https://creativecommons.org/licenses/by-sa/4.0/rdf //www.hoelymoley.com/q/6646 6 什么样的数据是最好的玫瑰图所示? 萨彦岭 //www.hoelymoley.com/users/4574 2015 - 10 - 03 - t14:54:33z 2018 - 01 - 18 - t18:47:24z < p >我在寻找一些地质资料呈现在玫瑰图是可取的。我真的不知道什么样的数据是适当的。任何建议的数据——最好的地层学和岩石学领域(火成岩、沉积岩、变质岩)-将是有用的。< / p > < p >也有好的参考书玫瑰图吗?谢谢你。< / p > //www.hoelymoley.com/questions/6646/-/6647 # 6647 7 答案由马特·霍尔,什么样的数据最好的玫瑰图所示? 马特·霍尔 //www.hoelymoley.com/users/28050 2015 - 10 - 03 - t17:41:50z 2015 - 10 - 03 - t17:41:50z < p > <强>玫瑰图,也被称为极地酒吧情节,显示方位(方向)数据是很有用的。任何数据集组成的很多位置或方向的测量可以可视化。< /强> < / p > < p >沉积学中的一个常见应用就是可视化测量交错层理另。这可以帮助解决古水流方向(也就是说,盛行风的方向或当前的时间)。< a href = " http://www.pstat.ucsb.edu/faculty/jammalam/html/Some%20Publications/1966_CrossbeddingAzimuths-%20Sankhya.pdf " rel = " noreferrer " >本文通过森古普塔和饶< / >有一些例子和一些数据。< / p > < p >玫瑰图显示结构地质学家也经常使用,折叠的可视化测量方向,断层或其他压力指标。< a href = " https://www.wou.edu/las/physci/taylor/es406_structure/TM_chap2_Techniques.pdf " rel = " noreferrer " > < / >这是一个例子(10页的PDF) < a href = " https://books.google.ca/books/about/Structural_Geology.html?id = 14 fn03ij2r8c noreferrer“rel = > Twiss,摩尔的< em >构造地质学< / > < / em >的书。< / p > < p >生成大量的数据的一个方法你将会找到一个地质图的缺点或倾斜/罢工指标,然后测量他们的角度(顺时针从N)。< / p > < p >我不确定是第一,但我怀疑最初的构思设计< a href = " https://en.wikipedia.org/wiki/Wind_rose " rel = " noreferrer " > < / >风力数据。< / p > //www.hoelymoley.com/questions/6646/-/13127 # 13127 1 由dergeophysiker回答什么样的数据是最好的玫瑰图所示? dergeophysiker //www.hoelymoley.com/users/4926 2018 - 01 - 18 - t18:47:24z 2018 - 01 - 18 - t18:47:24z < p >在地震采集和处理情节是至关重要的。这些情节的另一个方法是“角直方图。”This article article shows rose plots for a subsurface point using this picture:rose plot for common midpoint.

What you are seeing in plots A,B, and C is the the azimuthal coverage of subsurface seismic ray paths for an "average" point in the survey. So in plot A, very near the point there is not much trace density, but further away at azimuths trending to the upper left/lower right there is more density.

In other words, the point was sampled primarily along a NW/SE direction. In plot B, the survey was shot to sample the points along a NE/SW direction. In plot C, we see the results of stacking the two surveys.

These plots are critical because sampling the point from different directions gives us new information, and these plots let us see what information we may be lacking in order to design new surveys to add more information.

If you want to play around with creating polar plots, I recommend the free software GMT, generic mapping tools to get started. It can create just about any type of polar plot you want. There are newsgroups and user forums for help as well.

In python, polar and rose plots can also be created different ways, one is Plotly. If you are familiar with python, it might work well for you. Below is a sample Plotly rose plot. Plotly rose plot

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