Charts of climate statistics and MODIS data for all subregions 2014

## **Abstract** \r\n\r\n\r\n\r\n\r\n\r\nThis dataset was derived by the Bioregional Assessment Programme from 'Mean climate variables for all subregions' and 'fPAR derived from MODIS for BA subregions'. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.\r\n\r\n\r\n\r\nThese are charts of climate statistics and MODIS data for each BA subregion. There are six 600dpi PNG files per subregion, with the naming convention BA-\\[regioncode\\]-\\[subregioncode\\]-\\[chartname\\].png. The charts, according to their filename, are: rain (time-series of rainfall; Figure 1), P-PET (average monthly precipitation and potential evapotranspiration; Figure 2), 5line (assorted monthly statistics; Figure 3), trend (monthly long-term trends; Figure 4) and fPAR (fraction of photosynthetically available radiation - an indication of biomass; Figure 5).\r\n\r\n## **Purpose** \r\n\r\nThese charts were generated to be included in the Contextual Report (geography) for each subregion.\r\n\r\n## **Dataset History** \r\n\r\n\r\n\r\n\r\n\r\nThese charts were generated using MatPlotLib 1.3.0 in Python 2.7.5 (Anaconda distribution v1.7.0 32-bit). \r\n\r\n\r\n\r\nThe script for generating these plots is BA-ClimateCharts.py, and is packaged with the dataset. This script is a data collection and chart drawing script, it does not do any analysis. The data are charted as they appear in the parent datasets (see Lineage). A word document (BA-ClimateGraphs-ReadMe) is also included. This document includes examples of, and approved captions for, each chart.\r\n\r\n## **Dataset Citation** \r\n\r\nBioregional Assessment Programme (XXXX) Charts of climate statistics and MODIS data for all subregions 2014. Bioregional Assessment Derived Dataset. Viewed 06 May 2016, http://data.bioregionalassessments.gov.au/dataset/92a6b1ab-037d-4f0c-8117-937c1673e274.\r\n\r\n## **Dataset Ancestors** \r\n\r\n* **Derived From** [Mean climate variables for all subregions](https://data.gov.au/data/dataset/3f568840-0c77-4f74-bbf3-6f82d189a1fc)\r\n\r\n* **Derived From** [BILO Gridded Climate Data: Daily Climate Data for each year from 1900 to 2012.](https://data.gov.au/data/dataset/7aaf0621-a0e5-4b01-9333-53ebcb1f1c14)\r\n\r\n* **Derived From** [fPar derived from MODIS for BA subregions](https://data.gov.au/data/dataset/299ec634-2919-4838-a163-a6804b95438c)\r\n\r\n

**摘要**

本数据集由生物区域评估计划（Bioregional Assessment Programme）从“所有子区域的平均气候变量数据集”以及“针对BA子区域的MODIS衍生fPAR（fraction of photosynthetically available radiation）数据集”衍生而来。您可在本元数据声明的谱系字段（Lineage Field）中找到父级数据集的链接，本元数据声明的历史字段则说明了本数据集的衍生流程。

本数据集包含各BA子区域的气候统计数据与MODIS数据图表。每个子区域包含6个分辨率为600dpi的PNG文件，命名规则为：BA-[区域代码]-[子区域代码]-[图表名称].png。根据文件名，这些图表分别为：rain（降雨时间序列，对应图1）、P-PET（月均降水量与潜在蒸散量，对应图2）、5line（各类月度统计数据，对应图3）、trend（月度长期趋势，对应图4）以及fPAR（光合有效辐射占比，即生物量表征指标，对应图5）。

**用途**

本批图表专为各子区域的（地理）背景报告制作并收录。

**数据集历史**

本批图表通过Python 2.7.5（Anaconda发行版v1.7.0 32位）中的MatPlotLib 1.3.0生成。
生成此类图表的脚本为BA-ClimateCharts.py，随数据集一同打包发布。该脚本仅用于数据收集与图表绘制，不具备数据分析功能，图表数据完全复刻自父级数据集（详见谱系字段）。随包还附带一份Word文档（BA-ClimateGraphs-ReadMe），其中包含各图表的示例与官方标注说明。

**数据集引用**

生物区域评估计划（Bioregional Assessment Programme）. 2014. 所有子区域气候统计数据与MODIS数据图表. 生物区域评估衍生数据集. 2016年5月6日查阅. http://data.bioregionalassessments.gov.au/dataset/92a6b1ab-037d-4f0c-8117-937c1673e274.

**数据集上游来源**

* **数据衍生自** [所有子区域的平均气候变量数据集](https://data.gov.au/data/dataset/3f568840-0c77-4f74-bbf3-6f82d189a1fc)
* **数据衍生自** [BILO格点气候数据：1900-2012年逐年每日气候数据](https://data.gov.au/data/dataset/7aaf0621-a0e5-4b01-9333-53ebcb1f1c14)
* **数据衍生自** [针对BA子区域的MODIS衍生fPAR数据集](https://data.gov.au/data/dataset/299ec634-2919-4838-a163-a6804b95438c)