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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/gis-capstone
课程评论：没有评论
课程名称：地理空间分析项目 概述：在这个基于项目的课程中，您将设计并执行完整的基于GIS的分析，涵盖从识别一个您希望发展的概念、问题或主题，到最终的数据产品和地图，您可以将其添加到您的作品集中。完成的项目将展示您对GIS专项知识的掌握，整个项目分为四个阶段： 里程碑1：项目提案 - 在抽象层面上构思和设计项目，并撰写简短的提案，其中包含项目描述、预期数据需求、时间表以及您预期的完成方法。 里程碑2：工作流程设计 - 开发项目的分析工作流程，一般需要创建至少一个核心算法来处理数据。模型不必复杂，但应允许您以新输出分析空间数据或创建新的分析地图。 里程碑3：数据分析 - 获取和预处理数据，通过模型或其他工作流程运行数据，以获得粗略的数据产品，并开始创建最终的地图产品或分析。 里程碑4：网页和印刷地图创建 - 提交可用且美观的地图及数据和算法，以供同行审查和反馈，从而完成项目。 大纲： 1. 课程概述与里程碑1：项目提案 - 在前两周内构建项目提案，包括研究问题、背景信息、潜在数据源和方法，以及预期结果。 2. 里程碑1：项目提案提交 - 持续完善项目提案，并提交以供同行评审。 3. 里程碑2：规划工作流程 - 在第三周进行算法开发，制定GIS分析的计划和模型。 4. 里程碑3：数据分析 - 在第四、五、六周处理数据，添加元数据，并评估结果。 5. 里程碑3：数据分析继续 - 关注数据质量问题，并再次审查元数据。 6. 里程碑3：数据分析提交 - 完成数据分析并提交以供同行评审。 7. 里程碑4：创建地图 - 在第七、八周内精炼制图技巧，制作至少两张可视化分析结果的地图。 8. 里程碑4：创建地图提交 - 完成地图并提交以供同行评审。 该课程通过实践项目，帮助您深入理解GIS分析的各个阶段，提升您的项目管理和技术技能。
Part: 1
Title:Course Overview and Milestone 1: Project Proposal
Description:In this milestone, you will have weeks 1 and 2 to build a project proposal that contains your research question or hypothesis, background information, potential data sources and methods, and your expected results. This proposal will lead you into future milestones by providing a guide to help keep your analysis on track. You will start by getting an overview of the entire project and the assignment for this first milestone. From there, you will learn about some sources for project ideas and data sources and look at an example project proposal.
Part: 2
Title:Milestone 1: Project Proposal Submission
Description:In this module, you will continue to work through Milestone 1, your project proposal as outlined in the first week. You will then submit your proposal for peer review.
Part: 3
Title:Milestone 2: Planning Your Workflow
Description:In this milestone, you will have week 3 to practice your algorithmic development. In the previous milestone, you posed a question you want to answer - now you'll develop a plan, your algorithm, for how to answer that question with GIS. In practice, this means you'll develop a ModelBuilder model that shows your planned analysis workflow, or some part of it. For those of you who are conducting an analysis that's not conducive to making a model, you can write out your series of steps instead. Regardless, by the end of this module, you'll have a plan for how to produce your results.
Part: 4
Title:Milestone 3: Data Analysis
Description:For this milestone, you will have weeks 4, 5, and 6 to process your data according to the model you created in the previous milestone, reinforcing your data analysis concepts and practice. When you complete your analysis, you will add metadata to any resulting layers, and you will also write an assessment of what the results mean and how they answer your research question.
Part: 5
Title:Milestone 3: Data Analysis Continue
Description:In this module, you will continue to work through Milestone 3, analyzing your data as outlined in the fourth week. Pay close attention to data quality issues and your metadata, as reviewed in this week's videos. You will have one more week to complete your data analysis.
Part: 6
Title:Milestone 3: Data Analysis Submission
Description:In this module, you will continue to work through Milestone 3, analyzing your data as outlined in the fourth and fifth week. You will then submit your data analysis for peer review.
Part: 7
Title:Milestone 4: Creating Your Maps
Description:In this module, you will have weeks 7 and 8 to hone your map-making skills, building at least two maps that visually interpret the results of your analysis. In making both a web map and a print-layout map, as well as through extra practice materials, you'll refine cartographic techniques that you previously learned as well as new ones to help you to better display information in map form. Should you choose to, you will also build a small website for your project by the time you complete this module.
Part: 8
Title:Milestone 4: Creating Your Maps Submission
Description:In this module, you will continue to work through Milestone 4, creating your maps as outlined in the seventh week. You will then submit your maps for peer review.
In this project-based course, you will design and execute a complete GIS-based analysis – from identifying a concept, question or issue you wish to develop, all the way to final data products and maps that you can add to your portfolio. Your completed project will demonstrate your mastery of the content in the GIS Specialization and is broken up into four phases: Milestone 1: Project Proposal - Conceptualize and design your project in the abstract, and write a short proposal that includes the project description, expected data needs, timeline, and how you expect to complete it. Milestone 2: Workflow Design - Develop the analysis workflow for your project, which will typically involve creating at least one core algorithm for processing your data. The model need not be complex or complicated, but it should allow you to analyze spatial data for a new output or to create a new analytical map of some type. Milestone 3: Data Analysis – Obtain and preprocess data, run it through your models or other workflows in order to get your rough data products, and begin creating your final map products and/or analysis. Milestone 4: Web and Print Map Creation – Complete your project by submitting usable and attractive maps and your data and algorithm for peer review and feedback.
