Published 2/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 757.85 MB | Duration: 1h 4m
Spatio-Temporal Analysis of Transportation Networks
What you’ll learn
Downloading and Georeferencing Raster data from GoogleEarth Pro
Mosaicking, Clipping and Digitization of Raster data
Creating and Building a Transport Network Dataset
Preparing and manipulating Transport Network data attributes
Perform Closest Facility and Service Area (Isochrone) Network analysis
Requirements
No prior ArcGIS experience needed
English Language
ArcGIS (ArcMap) software
Description
Hello, my name is James Awulu. I am a GIS Analyst and a Transport Engineer enthusiastic in utilizing GIS and spatial analysis in solving problems in multifarious sectors such as Transportation, Agriculture, and Climate. With a vast educational and work experience in Africa and Asia, I am keen on promoting the use of GIS and its applicability. In this course, I will be teaching you how to learn GIS as a beginner;• Download Spatial Data from varied sources• Acquire Data from GoogleEarth Pro• Convert shapefiles (.SHP) to .KMZ/KML format • Geocode/Geo-reference Raster data • Mosaic multiple satellite imageries• Clip raster data to desired shapefile boundary• Digitize Raster data to create a Road mapThis course will explicitly tutor you on how to carry out Spatial and Temporal Analysis of Transportation networks; • Dissolve road networks to aid data • Estimate length of road networks, assign standard speed of traffic peculiar to the area of interest• Prepare and manipulate Network attribute data, • Assign closest Facilities from points of Origins to Points of Interests (Destinations), • Prepare Isochrone maps N/B: This course is resourceful for GIS enthusiast in transportation engineering. Beneficial to both Beginners and Experts since it is easily comprehendible to individual with no prior GIS experience. Tutorials are project-based, brief, explicit and comprehendible.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Spatial Data Acquisition
Lecture 2 Downloading shapefile, converting .SHP to KML
Lecture 3 Downloading Data from GoogleEarth pro
Section 3: Georeferencing, Mosaicking, Clipping and Digitization
Lecture 4 Georeferencing Raster data
Lecture 5 Mosaic and Clipping of Raster data
Lecture 6 Digitizing Road network
Section 4: Spatio-Temporal Road Network Analysis
Lecture 7 Attribute Data Preparation-I
Lecture 8 Attribute Data Preparation-II
Lecture 9 Creating the Network Dataset
Lecture 10 Closest Facility Network Analysis
Lecture 11 Service Area Network Analysis
GIS and Transport enthusiast,GIS beginners
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