Example workflows（示例工作流）¶
To help you understand when geospatial workflows may be appropriate for your use case, this document describes several common patterns for geospatial workflows. All example images use notional or open source data.
Common operating picture¶
- Summary: Unify organizational knowledge for enhanced decision-making against trends, risk, and capacity in emerging or emergency response scenarios.
- Purpose: Consolidate key context, alerts, and trends in a unified view to enable executives, stakeholders, and decision-makers to quickly understand a complex situation.
- Geospatial data inputs:
- Area boundaries (e.g. states, countries, or county polygons)
- Hotspot locations (e.g. hospital locations, points of interest)
- Output: A consolidated dashboard that reflects the current state, key trends, and new alerts in a complex, evolving situation.
Geospatial work planning¶
- Summary: Track work bundles with integrated model intelligence for better prioritization.
- Purpose: Useful for work over a large area that needs to be bundled together, prioritized, reviewed, approved, and assigned for field crews to complete.
- Geospatial data inputs:
- Asset locations (e.g. points/lines/polygons reflecting work items)
- Work area boundaries (e.g. polygons that divide work into natural blocks)
- Field crew locations over time
- Output: A work-planning tool that coordinates work bundles, including managing the process flow from planning to field crew completion.
Supply chain optimization¶
- Summary: Interrogate your supply chain to identify obstacles, surface opportunities, and understand trends over time.
- Purpose: Managing constraints in complex shipping networks or geographically dispersed production operations.
- Geospatial data inputs:
- Country or region polygons
- Plant, warehouse, or supplier locations
- Ship or truck locations over time
- Output: An investigative application to explore your network and test scenarios for adjusting constraints to optimize the overall system output.
中文翻译¶
示例工作流¶
为帮助您判断地理空间工作流是否适用于您的业务场景，本文档描述了地理空间工作流的几种常见模式。所有示例图片均使用概念性或开源数据。
通用运行图¶
- 摘要： 整合组织知识，以增强在新兴或应急响应场景中针对趋势、风险及容量的决策能力。
- 目的： 将关键背景信息、警报和趋势整合到统一视图中，使高管、利益相关者和决策者能够快速理解复杂局势。
- 地理空间数据输入：
- 区域边界（例如州、国家或县的多边形）
- 热点位置（例如医院位置、兴趣点）
- 输出： 一个整合型仪表盘，反映复杂且不断演变的局势中的当前状态、关键趋势及新警报。
地理空间工作计划¶
- 摘要： 通过集成模型智能追踪工作包，实现更优的优先级排序。
- 目的： 适用于需要将大面积工作打包、排序、审核、批准并分配给现场团队完成的任务。
- 地理空间数据输入：
- 资产位置（例如反映工作项目的点/线/面）
- 工作区域边界（例如将工作划分为自然区块的多边形）
- 现场团队随时间变化的位置
- 输出： 一个工作计划工具，用于协调工作包，包括管理从规划到现场团队完成的全流程。
供应链优化¶
- 摘要： 深入分析供应链，识别障碍、发现机遇并理解随时间变化的趋势。
- 目的： 管理复杂运输网络或地理分散的生产运营中的约束条件。
- 地理空间数据输入：
- 国家或区域多边形
- 工厂、仓库或供应商位置
- 船舶或卡车随时间变化的位置
- 输出： 一个探索性应用，用于分析网络并测试调整约束条件的场景，以优化整体系统产出。