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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/spatial-analysis
课程评论：没有评论
课程名称：地理空间与环境分析 概述：在本课程中，您将运用地理信息系统（GIS）知识进行地理空间分析，重点学习分析工具、三维数据、栅格数据、投影和环境变量。课程为期四周，我们将共同完成一个独特的项目，涵盖从项目构思、数据获取、初步数据管理与处理，直到最终的分析产品。 课程内容分为以下四个模块： 第一周：了解ArcToolbox，学习在ArcGIS中使用常见的地理空间分析工具。掌握剪切工具、删除工具、身份工具、近邻工具、点距离工具、合并工具、溶解工具、区域计数工具、缓冲区和转换工具。 第二周：深入学习栅格数据模型，包括符号化、重投影、叠加和评估栅格。在本模块中，还将探讨三维数据模型，并将观察数据插值为三维表面和栅格。 第三周：详细了解投影和坐标系统，这些是所有GIS分析的基础。学习如何使用环境变量来约束您的分析，从而获取更高质量的数据产品，并开始对课题项目进行分析。 第四周：扩展符号化知识，学习如何通过将数据分类到逻辑分组中来可视化展示数据，并在地图上进行符号化操作。 本课程可以单独学习，或作为地理信息系统（GIS）专业化课程的一部分。在学习本课程之前，您应具备完成本专业化的前两门课程《GIS基础》和《GIS数据格式、设计与质量》的相应经验。完成本专业化的第三门课程后，您将获得成功完成整个程序所需的技能。
Name:Course Overview & Geospatial Analysis
Description:In the first module of Geospatial and Environmental Analysis, we will be learning about a plethora of common tools used with vector data in ArcGIS for geospatial analysis projects. By the end of the module, you will be able to use: the clip tool, erase tool, identity tool, near tool, point distance tool, merge tool, dissolve tool, tabulate area tool, buffers, and conversion tools. In addition, you will also begin work on a geospatial analysis project that we will be using throughout this course.
Name:Rasters and Surfaces
Description:In this second module, we're going to cover raster data in depth and how to create 3-dimensional surfaces from our rasters. After completing this module you should be able to: describe different raster data formats and how they're used, use comparison and swipe tools, resample and retroject rasters, describe how fishnets and Thiessen polygons are used, create TINs, and convert your rasters to 3D data using ArcScene. In addition, you will continue your geospatial analysis project as you begin to plan your approach.
Name:Classifying and Viewing Data
Description:In this third module, we're going to start off with talking all about projections. If you've taking the specialization with us, you may recall that we discussed this in the first course, but this will be an in-depth, more technical overview of projections and coordinate systems. In the second half of the module we'll learn about environment variables. By the end of this module, you will be able to describe coordinate systems, projected coordinate systems, compare the pros and cons of different projections, and define what environment variables are and what they are used for. You will also have the opportunity to actually begin to analyze your data in the course project.
Name:Working Through a Project
Description:In the final module of this course, we're going to devote some time to discussing symbology. We've talked about symbology use a little bit in some of the other courses of the specialization, but this module provides a much more in-depth look at symbology use in ArcGIS. After viewing the videos in this module, you'll be able to design color ramps for your data, bin or classify your data appropriately, stretch raster boundaries, and copy and reuse symbology on multiple layers. Finally, we'll wrap up the geospatial analysis project before you begin work on the final (peer-reviewed) assignment for this course.
Apply your GIS knowledge in this course on geospatial analysis, focusing on analysis tools, 3D data, working with rasters, projections, and environment variables. Through all four weeks of this course, we'll work through a project together - something unique to this course - from project conception, through data retrieval, initial data management and processing, and finally to our analysis products. In this class you will learn the fundamentals of geospatial and environmental analysis during four week-long modules: Week 1: Tour ArcToolbox and learn how to use common geospatial analysis tools built into ArcGIS Week 2: Gain a working understanding of raster data models: symbolize, reproject, overlay, and assess rasters. Take a detour into 3D data models, and interpolation of observations into 3D surfaces and rasters Week 3: Go in-depth on projections and coordinate systems, which are foundational to all GIS. Learn how to use environment variables to constrain your analyses and get better quality data products. Week 4: Expand your knowledge of symbology. Learn how to visually display your data by classifying it in logical groupings and then symbolizing it on your map. Take Geospatial and Environmental Analysis as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first and second courses in this specialization, "Fundamentals of GIS" and "GIS Data Formats, Design, and Quality", before taking this course. By completing this third class in the Specialization you will gain the skills needed to succeed in the full program.
