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所在平台: Udemy |
课程主页: https://www.udemy.com/course/intermediate-spatial-data-analysis-with-r-qgis-more/
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课程名称：[中级] R、QGIS及更多工具的空间数据分析 课程概述：本课程提供实际训练，使用来自不同来源的真实空间数据。您将通过强大的免费工具，如QGIS、R、GRASS和谷歌地球，掌握空间数据分析技能。课程旨在帮助已经掌握R和QGIS基本空间数据/GIS分析的用户，进行更高级的GIS任务，如自动化工作流和地理重建。除了提高您在R和QGIS中的空间数据分析能力，您还将接触到另一个强大的免费GIS软件GRASS。 该课程采用完全实用的空间数据分析和制图方法，每节课将教授一种您可以轻松应用的实用技术。授课教师Minerva Singh是剑桥大学的博士毕业生，在定量生态学研究方面有多年经验，并在牛津大学获得地理和环境的MPhil学位。Minerva在国际同行评审的期刊上发表过论文，并在国际会议上做过演讲。课程的基本目标是确保您能够立即将空间数据分析付诸实践，并发展扎实的GIS分析技能。您将能够开始为自己的项目分析空间数据，并用实际的空间数据分析能力给未来的雇主留下深刻印象。 本课程不同于其他培训资源。每节课都旨在以可演示和具体的方式提升您的GIS技能，并提供切实可行的GIS解决方案。这是一个中级空间数据分析课程，我们将在初级课程（核心空间数据分析：R和QGIS入门GIS）所涵盖的基本空间数据分析任务基础上，教授更复杂的GIS任务，如插值、空间数据制图、地理重建和详细的矢量处理。此外，您还将接触到初步的地球统计学以及空间数据的可视化与制图。 通过完成本课程，您将能够在免费软件中实际应用复杂的GIS技术，从而提升自身吸引力，更加受到雇主青睐。课程以实践操作为主，理论概念相关内容所占比例较小，但大部分时间将专注于使用来自不同来源的真实空间数据。每个视频结束后，您将学习如何在用于课程的软件中实际实现新的概念或技术。 在我的研究过程中，我发现R是一个强大的工具，能够汇总和分析来自不同来源的空间数据。熟练掌握R和QGIS中的空间数据分析使我能够更快地发表同行评审的论文。如果您感兴趣，可以查看我在ResearchGate上的个人资料。特别福利：您将获得课程中使用的所有数据以及R代码文件的访问权限。此外，您还将获得未来讲座、资源和R代码文件的访问权限。今天就报名参加课程，享受这一特别福利！如果您对课程不满意，我们提供无风险保证，快来行动吧！
PRACTICAL TRAINING WITH REAL SPATIAL DATA FROM DIFFERENT SOURCES. -------------------------------------------------------- DEVELOP MAD GIS SKILLS AND PERFORM SPATIAL DATA ANALYSIS USING FREE KICKASS TOOLS SUCH AS QGIS, R, GRASS AND GOOGLE EARTH. -------------------------------------------------------- This course is designed to take users who use R and QGIS for basic spatial data/GIS analysis to perform more advanced GIS tasks (including automated workflows and geo-referencing) using a variety of different data. In addition to making you proficient in R and QGIS for spatial data analysis, you will be introduced to another powerful free GIS software.. GRASS. This course takes a completely practical approach to spatial data analysis and mapping- Each lecture will teach you a practical application/processing technique which you can apply easily. The course is taught by Minerva Singh, A PhD graduate from Cambridge University, UK, who has several years of research experience in Quantitative Ecology and an MPhil in Geography and Environment from Oxford University. Minerva has published papers in international peer reviewed journals and given talks at international conferences. The underlying motivation for the course is to ensure you can put spatial data analysis into practice today and develop sound GIS analysis skills. You'll be able to start analyzing spatial data for your own projects, and IMPRESS YOUR FUTURE EMPLOYERS with examples of your PRACTICAL spatial data analysis abilities. This course is different from other training resources. Each lecture seeks to enhance your GIS skills in a demonstrable and tangible manner and provide you with practically implementable GIS solutions. This is an intermediate course in spatial data analysis, i.e. we will build on on basic spatial data analysis tasks (such as those covered in the beginner version course: Core Spatial Data Analysis: Introductory GIS with R and QGIS) and teach users how to practically implement more complex GIS tasks such as interpolation, mapping spatial data, geo-referencing and detailed vector processing. Additionally you will be introduced to preliminary geo-statistics and mapping/visualizing spatial data. This course covers complex GIS techniques, and by completing this course, you will be implementing these PRACTICALLY in freely-available software, thus making you MORE ATTRACTIVE TO EMPLOYERS. It is a practical, hands-on course, i.e. we will spend a tiny amount of time dealing with some of the theoretical concepts pertaining to the different spatial data analysis techniques demonstrated in the course. However, majority of the course will focus on working with real spatial data from different sources. After each video you will learn how to practically implement a new concept or technique in the different softwares used for the course. During the course of my research I have discovered that R is a powerful tool for collating and analyzing spatial data acquired from different sources. Proficiency in spatial data analysis in R and QGIS has helped me publish more peer reviewed papers faster. Feel free to check out my profile on ResearchGate. FREE BONUS: You will have access to all the data used in the course, along with the R code files. You will also have access to future lectures, resources and R code files. Enroll in the course today & take advantage of this special bonus! I don't have to remind you that we have a RISK-FREE GUARANTEE in the case of you not being satisfied with the course. Take action now!
