A collection of functions for calculating the skill of model predictions against observations.
이 제출물을 팔로우합니다
- 팔로우하는 게시물 피드에서 업데이트를 확인할 수 있습니다
- 정보 수신 기본 설정에 따라 이메일을 받을 수 있습니다
인용 양식
Peter Rochford (2026). PeterRochford/SkillMetricsToolbox (https://github.com/PeterRochford/SkillMetricsToolbox), GitHub. 검색 날짜: .
도움
도움 받은 파일: rgb.m, Taylor Diagram
일반 정보
- 버전 1.8.3.1 (4.51 MB)
-
GitHub에서 라이선스 보기
MATLAB 릴리스 호환 정보
- R2018b에서 R2020b까지의 릴리스와 호환
플랫폼 호환성
- Windows
- macOS
- Linux
GitHub 디폴트 브랜치를 사용하는 버전은 다운로드할 수 없음
| 버전 | 퍼블리시됨 | 릴리스 정보 | Action |
|---|---|---|---|
| 1.8.3.1 | Added missing check_color.m file. |
||
| 1.8.3.0 | Implemented capability to use an RGB triplet for the markerColor parameter in both the target and Taylor diagram functions. |
||
| 1.8.2.0 | Fixed bug of incorrect passing of statistics to the check_taylor_stats function. |
||
| 1.8.1.0 | Forgot to commit code to git repository on GitHub before publishing to Matlab Central. |
||
| 1.8.0.0 | This version now includes the following new options:
|
||
| 1.7.0.0 | Added ability to overlay multiple sets of data, specify marker symbols and colors, and use a large number of symbols of different color along with a legend. |
||
| 1.6.0.0 | Added ‘CMapZData’ option that allows markers to be color scaled according to other measures such as bias. Added two Taylor diagram examples: 1) use of legend with multiple columns, and 2) color scaling of markers using bias value. |
||
| 1.5.0.0 | Changed toolbox to use xlabel/ylabel, etc., rather than custom use of text function. This allows easier control of font size for labels using returned handles as documented on the FAQ: http://github.com/PeterRochford/SkillMetricsToolbox/wiki/FAQ. |
||
| 1.4.0.0 | Added options to adjust marker symbol face color (transparent through opaque) and marker size. Axes font size and line widths are now adjustable via default figure properties. Implemented better default angle for placement of RMSD contour values. |
||
| 1.3.0.0 | Added options for displaying observation standard deviation on the axis, a label for the point, and a circle. |
||
| 1.2.0.0 | Version 1.2 is compliant with GNU Octave, version 4.2.0. All of the latest example plots were generated with Octave and may not be as good as those using Matlab. Newly added statistical metrics are bias, Brier score, Brier skill score, and RMSD.
|
||
| 1.1.0.0 | Corrected typographic errors. |
||
| 1.0.0.0 |
|
