Percentile-Range Indexed Mapping and Evaluation (PRIME) is a new tool to visualize and quantifying spatio-temporal dynamics of long-term dataset. PRIME is based on categorical partitioning of magnitude based on user defined indices assigned to ranges of percentile and mapping subsets of data at selected percentiles of long-term data. Indices can reflect attributes such as sea-level and water management decisions, tolerable range of water quality to a species, ecological risk, response to and recovery from disturbance, and values of ecosystem services. PRIME provides visual and robust datascapes and flexibility to evaluate variability in space and time for long-term environmental assessment. Here, we demonstrate the utility of PRIME using 16 years of hydrologic and salinity data from 14 sites representing three unique hydrological systems in the Florida Coastal Everglades (FCE). The resulting PRIME datascapes reveal interaction between water management and sea-level rise to drive salinity levels in the FCE.

百分比范围索引映射和评估（PRIME）是一种可视化和量化长期数据集时空动态的新工具。PRIME基于对大小的分类划分，该分类基于分配给百分比范围的用户定义索引，并在长期数据的选定百分比处映射数据子集。指标可以反映以下属性，例如海平面和水管理决策，水质对物种的可承受范围，生态风险，对干扰的响应和从中恢复以及生态系统服务的价值。PRIME提供视觉和鲁棒的数据视图，并具有灵活性，可以评估空间和时间的可变性，以进行长期环境评估。这里，我们使用来自14个站点的16年水文和盐度数据展示了PRIME的实用性，这些数据代表了佛罗里达沿海大沼泽地（FCE）的三个独特的水文系统。最终的PRIME数据视图揭示了水管理与海平面上升之间的相互作用，从而推动了FCE中的盐度水平。