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.
Este curso faz parte do Programa de cursos integrados Sistema de Informação Geográfica (SIG)
Geospatial and Environmental Analysis
oferecido por
Programa de cursos integrados Sistema de Informação Geográfica (SIG)Universidade da Califórnia, Davis
15,925 Inscrito
Informações sobre o curso
26,934 visualizações recentes
O que você vai aprender
Create 3-dimensional surfaces
Create triangulated irregular networks (TIN) and modify rasters to 3D data
Develop and analyze data for the geospatial analysis project
Design color ramps for your data
Programa - O que você aprenderá com este curso
Semana
13 horas para concluir
Course Overview & Geospatial Analysis
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.
17 vídeos (total de (Total 105 mín.) min), 3 leituras, 1 teste
17 videos
Course Overview3min
Course Mechanics4min
Module 1 Overview1min
Clip Tool5min
Erase and Identity Tools9min
Buffers and Multiple Ring Buffer9min
Near and Generate Near Table Tools8min
Merge Tool4min
Dissolve Tool6min
Behind the Scenes: Preparing the Dissolve Tool Lecture Data4min
Tabulate Area7min
Conversion Tools7min
Making Charts and Graphs in ArcMap10min
Geospatial Analysis Assignment Intro4min
Data Acquisition for Our Project10min
Getting the Crop Data5min
Module 1 Summary1min
3 leituras
Getting Started in this Course10min
Tutorial Assignment 1: Generating Streamlines from Elevation Models10min
Extra Practice: Use Geoprocessing Tools on New Data10min
1 exercício prático
Lesson 1: Geospatial Analysis14min
Semana
24 horas para concluir
Rasters and Surfaces
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.
18 vídeos (total de (Total 164 mín.) min), 2 leituras, 2 testes
18 videos
Raster Data Formats13min
Raster Display Options10min
Comparison/Swipe Tools7min
Resampling and Cell Assignment10min
Reprojecting Rasters10min
Clipping Rasters and Extract by Mask9min
Raster Mosaics12min
Surfaces and Interpolation5min
Rasters as 3D Data6min
Thiessen Polygons and Fishnets5min
TINs4min
TINs in Action12min
Z Values and 3D Data10min
3D Scenes9min
Setting Up the Data, Part 112min
Setting Up the Data, Part 218min
Module 2 Summary2min
2 leituras
Tutorial Assignment 2: Creating and Assessing DEMs from Points and Raster Data10min
Extra Practice 2: Working with New Tools10min
2 exercícios práticos
Lesson 3: Working with Rasters14min
Lesson 4: Surfaces and the Third Dimension12min
Semana
32 horas para concluir
Classifying and Viewing Data
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.
13 vídeos (total de (Total 107 mín.) min), 1 leitura, 2 testes
13 videos
Overview of Projections and Coordinate Systems4min
Datums7min
Geographic Coordinate Systems3min
Preserving Properties of Data with Projections12min
Common Projected Coordinate Systems6min
Projections in Action10min
What are Environment Variables?8min
Output Coordinate System Environment Variable9min
Extent Environment Variable10min
Cell Size, Mask, and Snap Raster Environment Settings12min
Project Data Analysis18min
Module 3 Summary1min
1 leituras
Tutorial Assignment 3: Spawning Redds and Timber Harvests - A Watershed-based Analysis10min
2 exercícios práticos
Lesson 6: Projections and Coordinate Systems12min
Lesson 7: Environment Variables8min
Semana
43 horas para concluir
Working Through a Project
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.
8 vídeos (total de (Total 67 mín.) min), 1 leitura, 2 testes
8 videos
Color Ramps11min
Binning/Classifying Data11min
Stretching Rasters9min
Copying Symbology11min
Project Data Analysis and Wrapup18min
Module 4 Summary38s
Course Summary2min
1 leituras
Extra Practice: Maplex Labeling10min
1 exercício prático
Lesson 9: Symbology8min
54%
comecei uma nova carreira após concluir estes cursos
45%
consegui um benefício significativo de carreira com este curso
Melhores avaliações
Like the previous courses on this specialization, this course is well prepared, the lectures are clear and the assignments designed to reinforce the learner's skills. I have really enjoyed it.
I enjoyed this part most of the three courses in the GIS specialization that I have earned certificates. Thanks to Dr. Nick Santos for his interactive teaching, assignments and projects.
Instrutores
Nick Santos
Geospatial Applications ResearcherCenter for Watershed Sciences
Sobre Universidade da Califórnia, Davis
UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.
Sobre o Programa de cursos integrados Sistema de Informação Geográfica (SIG)
Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
O que recebo ao me inscrever nesta Especialização?
Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
Qual é a política de reembolso?
Existe algum auxílio financeiro disponível?
What prior experience do I need to take this course?
You should have some experience in GIS before taking this course - it's not for absolute beginners. This is the third course in the Geographic Information Systems specialization, and you should have taken the first two courses in the specialization, "Fundamentals of GIS" and "GIS Data Formats, Design, and Quality", here on Coursera before enrolling in this course, or have equivalent experience. If you're not sure if you have equivalent experience, you can audit those courses for free to look through the materials and fill in any gaps. Search for them by name on the site to find them.
Since all of the courses in the specialization run monthly, you won't miss out on this course by enrolling in those courses first. This course will have a new session once you have the skills needed to take it.
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