Gis Data Collection, Management, Analysis, Visualization And Mapping Training
Introduction
INTRODUCTION
This training introduces students to both the social and technical aspects of digital mapping. Students will learn fundamental concepts and techniques in cartography and GIS, including file types, data classification, projections and coordinate systems and elementary analytical techniques in a range of desktop and web-based mapping platforms. In addition to providing the fundamental technical competencies necessary to create maps, students will develop the critical awareness required to effectively communicate complex social processes through maps. This course comprises 10 modules, each with their own learning objectives and target deliverable. Modules consist of an applied "hands-on" lesson.
COURSE OBJECTIVES
By the end of this course the participants will be able to:
Define and differentiate between variety of spatial data models and formats
Explain and apply the basics of representation in GIS, (including using vector and raster data formats, determining appropriate geographic coordinate system for a given spatial data file and applying the appropriate geographic projection to a map type and spatial scale)
Manipulate geospatial datasets (e.g. cleaning, joining, querying, extracting)
Apply appropriate thematic map symbology to represent geographic phenomena
Produce static map products that integrate multiple data types and analytical methods
Obtain geospatial data from a variety of online sources and integrate into mapping processes
Integrate desktop GIS procedures with web-based mapping platforms
DURATION
2 Weeks
WHO SHOULD ATTEND
The course targets government representatives, project teams, NGOs, multi and bilateral development organizations, consultancies, etc, who work as M&E specialists, project managers, researchers and technical specialists.
COURSE CONTENT
Module 1: Introduction to new maps plus, cartography and GIS, and creating maps in QGIS
Basics of cartography, GIS, and mapping
Introduction of geographic data and information and its coding
Downloading and Installing a free and open-source GIS application (QGIS)
QGIS interface
Spatial reference and projection issues
Working with geographic data with QGIS and viewing their attributes within QGIS
Basic map styling
Creating and exporting a basic map as a static image file
Module 2: Thematic data mapping with table joins
Load shape files and CSV data into QGIS
Reproject the map into an equal-area projection
Create classed choropleth map
Adjusting the legend
Load tabular CSV data into QGIS and performing a tabular join
Module 03: Geocoding and point in polygon analysis
Obtain and work with US Census data
Geocoding of tabular data
Online geocoding tools
Polygon analysis points
Module 04: Hexbin and heat mapping
Map point data
Create new polygon shape files of hexagon shapes and raster heat maps
Determine the number of different good types within each polygon
Play with various classification schemes for representing the data
Create a 'heat map' representation of the data
Module 05: Creating and editing vector Geometries
Georeferencing
Using the GDAL Georeferencer
Data digitization
Data digitization with Open Street Map in QGIS
WEEK 2
Module 06: Openstreetmap data and Introduction to Geoprocessing tools
Introduction to Open Street Map
Importing OpenStreetMap data: QuickOSM
Importing OpenStreetMap data: SpatialLite Database
Filtering and extraction od data
Exporting layers to a local CRS
Introducing Geoprocessing
Geoprocessing with a buffer analysis
Module 07: Geoprocessing in QGIS and automating workflows
Extracting and preparing thematic OSM data
Filtering OSM data to create desired features
Managing CRSs in a Geoprocessing Workflow
Extracting attribute types of interest
Creating a buffer around a Polyline feature
Clipping features within a buffer
Geoprocessing functions
Using the Graphical Processing Modeler to automate workflows
Module 08: Integrating QGIS with cartodb
Creating a CartoDB account and exploring the documentation and interface
Loading data into CartoDB
Using the QGIS CartoDB plugin
Pulling data down into QGIS for processing
Pushing data backup to CartoDB
Making a thematic map in CartoDB
Module 09: Advanced mapping techniques with QGIS and cartodb
Using SQL in CartoDB
Symbolizing point data and "Bubble Maps" in CartoDB
Creating an unclassed proportional symbol map in CartoDB
What is PostGIS?
Using SQL and PostGIS to perform Geoprocessing tasks in the browser
Module 10: Bringing it all together (course project)
Each student will select from suggested datasets to create a final course project
Students can use CartoDB or Mapbox Studio
GENERAL NOTES
This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.
Training manuals and additional reference materials are provided to the participants.
Upon successful completion of this course, participants will be issued with a certificate.
This training introduces students to both the social and technical aspects of digital mapping. Students will learn fundamental concepts and techniques in cartography and GIS, including file types, data classification, projections and coordinate systems and elementary analytical techniques in a range of desktop and web-based mapping platforms. In addition to providing the fundamental technical competencies necessary to create maps, students will develop the critical awareness required to effectively communicate complex social processes through maps. This course comprises 10 modules, each with their own learning objectives and target deliverable. Modules consist of an applied "hands-on" lesson.
COURSE OBJECTIVES
By the end of this course the participants will be able to:
Define and differentiate between variety of spatial data models and formats
Explain and apply the basics of representation in GIS, (including using vector and raster data formats, determining appropriate geographic coordinate system for a given spatial data file and applying the appropriate geographic projection to a map type and spatial scale)
Manipulate geospatial datasets (e.g. cleaning, joining, querying, extracting)
Apply appropriate thematic map symbology to represent geographic phenomena
Produce static map products that integrate multiple data types and analytical methods
Obtain geospatial data from a variety of online sources and integrate into mapping processes
Integrate desktop GIS procedures with web-based mapping platforms
DURATION
2 Weeks
WHO SHOULD ATTEND
The course targets government representatives, project teams, NGOs, multi and bilateral development organizations, consultancies, etc, who work as M&E specialists, project managers, researchers and technical specialists.
COURSE CONTENT
Module 1: Introduction to new maps plus, cartography and GIS, and creating maps in QGIS
Basics of cartography, GIS, and mapping
Introduction of geographic data and information and its coding
Downloading and Installing a free and open-source GIS application (QGIS)
QGIS interface
Spatial reference and projection issues
Working with geographic data with QGIS and viewing their attributes within QGIS
Basic map styling
Creating and exporting a basic map as a static image file
Module 2: Thematic data mapping with table joins
Load shape files and CSV data into QGIS
Reproject the map into an equal-area projection
Create classed choropleth map
Adjusting the legend
Load tabular CSV data into QGIS and performing a tabular join
Module 03: Geocoding and point in polygon analysis
Obtain and work with US Census data
Geocoding of tabular data
Online geocoding tools
Polygon analysis points
Module 04: Hexbin and heat mapping
Map point data
Create new polygon shape files of hexagon shapes and raster heat maps
Determine the number of different good types within each polygon
Play with various classification schemes for representing the data
Create a 'heat map' representation of the data
Module 05: Creating and editing vector Geometries
Georeferencing
Using the GDAL Georeferencer
Data digitization
Data digitization with Open Street Map in QGIS
WEEK 2
Module 06: Openstreetmap data and Introduction to Geoprocessing tools
Introduction to Open Street Map
Importing OpenStreetMap data: QuickOSM
Importing OpenStreetMap data: SpatialLite Database
Filtering and extraction od data
Exporting layers to a local CRS
Introducing Geoprocessing
Geoprocessing with a buffer analysis
Module 07: Geoprocessing in QGIS and automating workflows
Extracting and preparing thematic OSM data
Filtering OSM data to create desired features
Managing CRSs in a Geoprocessing Workflow
Extracting attribute types of interest
Creating a buffer around a Polyline feature
Clipping features within a buffer
Geoprocessing functions
Using the Graphical Processing Modeler to automate workflows
Module 08: Integrating QGIS with cartodb
Creating a CartoDB account and exploring the documentation and interface
Loading data into CartoDB
Using the QGIS CartoDB plugin
Pulling data down into QGIS for processing
Pushing data backup to CartoDB
Making a thematic map in CartoDB
Module 09: Advanced mapping techniques with QGIS and cartodb
Using SQL in CartoDB
Symbolizing point data and "Bubble Maps" in CartoDB
Creating an unclassed proportional symbol map in CartoDB
What is PostGIS?
Using SQL and PostGIS to perform Geoprocessing tasks in the browser
Module 10: Bringing it all together (course project)
Each student will select from suggested datasets to create a final course project
Students can use CartoDB or Mapbox Studio
GENERAL NOTES
This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.
Training manuals and additional reference materials are provided to the participants.
Upon successful completion of this course, participants will be issued with a certificate.
Course details
Duration: 5 Days
