課程介紹

MASTER SPATIAL DATA ANALYSIS IN R & QGIS: HANDS ON TRAINING WITH A REAL SPATIAL DATA PROJECT! 

Do you find GIS & Spatial Data books & manuals too vague, expensive & not practical and looking for a course that takes you by hand, teaches you all the c

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哪些人適合這堂課？

• Academics
• Researchers
• Conservation managers
• Anybody who works/will work with spatial data

學習目標

• You will have a greater clarity of basic spatial data concepts and data types
• Carry out practical spatial data analysis tasks in freely available software
• Learn about the kind of questions that are answered through spatial analysis and where to obtain free spatial data.
• Analyze spatial data using both R and QGIS
• Process raster and vector data in both R and QGIS
• Show off your skills & gain experience by working on a real life conservation related spatial data analysis project
• Start analyzing spatial data for your own projects using two powerful freeware tools
• You’ll have a copy of all the data and R scripts used in the course will be provided to students for their reference and to use in their own analysis.
• You’ll also have plenty of handy hints and tips will be provided alongside the code to prevent glitches

課程介紹

Do you want to learn how to access, process and analyze geospatial data using open source tools?

Do you want to master the fundamental concepts of a geographic information systems?   

Do you want to acquire new hands on geospatial skills that will

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哪些人適合這堂課？

• This course is meant for professionals in various sectors including public health, water resources, urban planning, and others that deal with spatial data.
• This course is perfect for someone who wants to apply for a GIS Analyst or GIS Specialist job position.
• Anyone who wants to learn how to access, process and analyze spatial data.

學習目標

• Install QGIS
• Import CSV and GIS data into QGIS
• Understand projection and coordinate systems
• Download and map raster data from public repository
• Learn to differentiate between vector and raster data
• Perform spatial query with tabular data
• Perform point pattern analysis
• Generate Heatmap using Kernel Density Algorithm
• Learn to create and share online maps using web GIS platforms
• Learn to perform various spatial analysis including buffer, joins, clipping and other spatial analysis
• Complete a final GIS project on downloading, processing, analyzing and visualizing geospatial data

課程介紹

PRACTICAL TRAINING WITH REAL SPATIAL DATA FROM DIFFERENT SOURCES.

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DEVELOP MAD GIS SKILLS AND PERFORM SPATIAL DATA ANALYSIS USING FREE K

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哪些人適合這堂課？

• People who have a basic understanding of spatial data analysis and want to learn more
• Students interested in building up on skills acquired through my previous course Core Spatial Data Analysis: Introductory GIS with R and QGIS
• Academics
• Conservation managers
• GIS Technicians

學習目標

• Carry out the most common spatial data analysis and GIS tasks using free software tools
• Perform advanced spatial data analysis and mapping using both R and QGIS
• Develop robust map-making skills including harnessing the power of Google Earth.
• Get started with using the powerful, freeware tool GRASS GIS for some spatial data analysis tasks
• Stop spending money on paid-for GIS software tools
• Have a solid foundation to learn advanced GIS tasks
• Gain experience in working with a variety of different spatial data and gain hands-on expertise

課程介紹

For years I’ve been hearing everyone talking about Enterprise GIS, but I haven’t seen anyone do it. After this course, I can now say that “I’ve created a multi-user enterprise GIS on my own!” – John from California.

Do you want to learn how to build

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哪些人適合這堂課？

• This course is meant for those looking for hands-on experience building a multi-user enterprise GIS from scratch, using open source tools.
• Students should have a familiarity with open source tools like QGIS, however, having that experience is not required, as the course is designed to teach student with little or no experience
• This course is perfect training for someone who is interviewing for a GIS position – not many applicants can articulate how they put together an enterprise GIS.

學習目標

• Install PostGRES and PostGIS
• Design a PostGRES database with multiple users and roles
• Load GIS and attribute data into PostGRES and PostGIS
• Manage data by including constraints, views, and indexes.
• Connect GIS software as clients to the Enterprise PostGRES database
• Perform simultaneous multi-user editing of GIS data
• Issue spatial and non-spatial SQL to perform geographic analysis
• Develop an external application (kiosk) in Python
• Publish enterprise data on the Internet

課程介紹

Increase your GIS salary by 50% average.

Welcome everyone! This course teaches the essentials of the Python programming language to utilize arcpy, the  Python package for the leading GIS software, ArcGIS – ESRI. It is the first Udemy course about Py

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哪些人適合這堂課？

• ESRI users, ArcMap users
• GIS interns, geography interns, geospatial interns, spatial interns
• GIS students, geography students, geospatial students, spatial students
• GIS technicians, geography technicians, geospatial technicians, spatial technicians
• GIS analysts, geospatial analysts, spatial analysts
• Python beginners, arcpy beginners, computer science students, computer science interns
• Data analysts, Data scientists
• Geomatics engineers, Civil engineers, environmental engineers

學習目標

• Understand the essential concepts of the Python programming language.
• Develop in ArcGIS’s arcpy package using Python.

課程介紹

“This is a great and advanced web mapping application course to solve real world problem. It’s very to follow up and the instructor is very knowledgeable. I would recommend it to anyone who is interested in the field webmapping. Thanks Michael.”

“Ve

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哪些人適合這堂課？

• This course is oriented towards GIS professionals who are interested in expanding their skill sets to display and analyze their data on the web. I use open source software to make the material available to everyone free of charge but many of the concepts will be useful for commercial JavaScript API’s as well. This course will also be useful for Web Developers who want to learn to add maps to their projects with leaflet.

學習目標

• Learn to find and zoom to your position on a map
• Learn to use leaflet controls for user interface, geocoding, editing, and loading data
• Learn what background maps are available and how to use them
• Learn to create vector data and style it in your map
• Learn how to export your GIS data to GeoJSON format and load it into the map
• Learn how to filter a subset of your data
• Learn how to search for specific data elements and view their attributes
• Learn how to analyze spatial relationships
• Much, much, more!

課程介紹

This course is a complete introduction to GIS and QGIS. Starting at the beginner level we’ll cover basic terminology and conventions, some of the fundamental principles of GIS, an overview of what QGIS is and then we’ll get started with practical exp

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哪些人適合這堂課？

• This course is for students that have no (or little) prior knowledge of GIS and QGIS 3.
• It is probably not for those looking for more advanced use of QGIS 3.
• Those who want to switch from a different GIS program to QGIS 3 will find this course useful.

學習目標

• understand the fundamental principles of GIS.
• be familiar with GIS terminology.
• use the basic functions of QGIS.

課程介紹

                Are You an Ecologist or Conservationist Interested in Learning GIS and Machine Learning in R?

Are you an ecologist/conservationist looking to carry out habitat suitability mapping?
Are you an ecologist/conservationist looking to get

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哪些人適合這堂課？

• Academics
• Researchers
• Conservation managers
• Anybody who works/will work with spatial data

學習目標

• You will have a greater clarity of basic spatial data concepts and data types
• Carry out practical spatial data analysis tasks in freely available software in R
• Analyze spatial data using R

課程介紹

This is the first landuse landcover course on Udemy the most demanding topic in GIS, In this course, I covered from data download to final results. I used ERDAS, ArcGIS, ENVI and MACHINE LEARNING. I explained all the possible methods of land use clas

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哪些人適合這堂課？

• Civil Engineers
• Water Resource Experts
• Master Student of GIS
• PhD Students of Satellite Data Analysis
• Research Scholars
• GIS Analyst
• Environment and Earth Science Persons
• Urban and city Planner

學習目標

• Able to do a Prefect Land use classification of Earth using satellite image
• Also learn image Processing and analysis in depth
• Landuse change Detection
• Understand Features identification on Earth using Landsat Image
• Post Landuse Pixel level corrections
• Accuracy Assessment Report
• Downloading of best satellite image and process
• Understanding FCC satellite image and bands
• Pixel level correction in land use at specific area and statistical filters
• Calculate area from Pixels
• Generate new class after final landuse
• Learn all best method of classification.
• How to achieve maximum accuracy of classification
• Cut Study Area
• Classify with Machine Learning
• Support Vector Machine
• Random Forest

課程介紹

OpenLayers is a powerful, community-driven, open-source, JavaScript-based web mapping library, which allows us to develop web mapping applications using a great number of geospatial data sources, data formats, and open geospatial standards such as fr

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哪些人適合這堂課？

• People that want to learn web mapping using OpenLayers
• GIS (Geographic Information Science) professionals and students

學習目標

• Basics of OpenLayers
• All the Key Concepts of OpenLayers
• Raster Layers – Tiled Raster Layers, Raster Sources, Tiled ArcGISRest, TileWMS, Static Raster Images
• Vector layers – Vector Tile Layers, Vector Image Layer, Heatmap, Graticule
• Interacting with Vector Layer Features
• Styling Vector Layers – points, lines, and polygons, using images as point symbols, styling based on feature properties
• Overlays
• Learn How to Manage Multi-layers
• Projections and Coordinate Reference Systems – different projections, coordinate transformations, and reprojecting of geospatial data
• Map Interactions
• Map Controls – styling and manipulating map controls
• Geolocation API
• Geospatial formats and standards
• Learn and Build a Complete OpenLayers Project
• And much much more!