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Context Weather - USA Sample

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Databricks2025-11-11 收录
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https://marketplace.databricks.com/details/3dc42778-0e6e-4ee9-8594-3ce6eff6be50/Precisely_Context-Weather---USA-Sample
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**Overview** Context Weather is a series of climate scores derived from measuring and modeling climate data over time and across stratified geographies. The Context Weather product provides users with a series of detailed climate scores down to neighborhoods or ZIP Code boundaries. This sample data set covers the San Francisco, CA area. This represents a subset of the full product’s geographic extent. The full commercial offering features geographic coverage of the entire United States. Contact Databricks.partnership@precisely.com for more information on licensing the product. **Use cases** **Location Planning** Analyze weather patterns across specific geographies **Risk Analysis** Identify the climate risks associated to a certain area **Product details** Climate data reported by month and season: - Average high and low temperatures - Average precipitation - Average snowfall - Average sunny and cloudy days - Average wind chill - Average wind speed - Average relative humidity - Average Heat index - Average heating and cooling degree days Context Weather is available with the following Precisely polygon products: - Neighborhood Boundaries - Residential Boundaries - ZIP Code Boundaries Context Weather data and geographies are linked by IDs. A universal Context ID links to a Precisely polygon ID from its corresponding Precisely product. These other Precisely products are separately licensed and also available in Databricks. **Additional Insights** https://help.precisely.com/search?value-filters=Product_all~%2522Context%257CWeather%2522&content-lang=en-US https://www.precisely.com/data-guide/products/weather-data-context

**概述** 上下文天气(Context Weather)是一套通过对跨分层地理区域的气候数据开展长期测量与建模而生成的气候评分体系。该产品可为用户提供精准至街区或邮政编码(ZIP Code)边界的系列详细气候评分。 本示例数据集覆盖美国加利福尼亚州旧金山区域,仅为完整产品地理覆盖范围的子集。该商用完整版产品的地理覆盖范围可达美国全境。如需获取该产品的授权详情,请联系邮箱Databricks.partnership@precisely.com。 **使用场景** **区位规划**:针对特定地理区域的气候模式开展分析研究 **风险分析**:识别特定区域所关联的各类气候风险 **产品详情** 按月与季节发布的气候数据包含以下指标: - 平均最高与最低气温 - 平均降水量 - 平均降雪量 - 平均晴日与阴日天数 - 平均风寒指数 - 平均风速 - 平均相对湿度 - 平均酷热指数 - 平均采暖度日数与制冷度日数 上下文天气(Context Weather)可与以下Precisely多边形产品配套使用: - 街区边界数据集 - 住宅边界数据集 - 邮政编码边界数据集 上下文天气数据与地理区域通过ID进行关联:通用上下文ID可匹配对应Precisely产品中的Precisely多边形ID。上述其余Precisely产品需单独授权,同样可在Databricks平台获取。 **额外参考资源** https://help.precisely.com/search?value-filters=Product_all~%2522Context%257CWeather%2522&content-lang=en-US https://www.precisely.com/data-guide/products/weather-data-context
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