GIS FOR NATURAL RESOURCE MANAGEMENT TRAINING

GIS FOR NATURAL RESOURCE MANAGEMENT TRAINING

Start Date: 16/12/2019 End Date: 20/12/2019 for 5 days
Register online: https://bit.ly/2GeFLvW
Organizer: DATA-AFRIQUE CONSULTANCY (www.data-afriqueconsultancy.org)
Course fee: KSH 70,000, USD 1,000

INTRODUCTION

As natural resource managers—biologists, botanists, ecologists, environmental regulators, hydrologists, planners, miners, petroleum engineers, foresters, and farmers—you rely on the analytical power of GIS for help in making critical decisions as you manage the earth’s resources.

There is no simple answer to our environmental and natural resource concerns, but whether you are restoring habitats, planting crops, drilling for oil, or monitoring endangered species there is increasing optimism that the application of GIS tools will help us become a more sustainable planet.

COURSE OBJECTIVES

By the end of this course the participants will be able to:

  • Collect, interpret, and manage spatial information using remote sensing and information systems
  • Support planning and decision making processes in natural resource management using the information acquired.
  • Understand geoinformation in relation to natural resource management.

DURATION

5 days

 

WHO SHOULD ATTEND

Biologists, botanists, ecologists, Foresters, NGO staff, Government officials in environment and conservation, environmental regulators, hydrologists, planners, miners, petroleum engineers, foresters, and farmers.

COURSE CONTENT

  • Introduction to GIS and Remote sensing and in Natural Resource Management (NRM)
  • Collection of GIS data for NRM
  • Analysis of the data collected
  • Ground verification of data
  • Application of GIS on:
    • Watershed management
    • Desertification
    • Determination of soil types and moisture content
    • Land use analysis using GIS
    • Slope information identification and analysis
  • Application of GIS in Biodiversity Management
    • Flora and Fauna Management
    • Conservation Biology and GIS
    • Ecotourism and Community-based nature conservation
    • Protected area management and  conflict resolution
    • Biodiversity conservation & eco-tourism
    • Habitat Characterization and Management
    • Wildlife economics and value chain
    • Ecotourism planning, & entrepreneurship
    • Landscape ecology, culture diversity & eco-tourism

GENERAL NOTES

GIS AND SPATIAL ANALYSIS FOR AGRICULTURE AND FOOD SECURITY TRAINING

GIS AND SPATIAL ANALYSIS FOR AGRICULTURE AND FOOD SECURITY TRAINING

Start Date: 16/12/2019 End Date: 20/12/2019 for 5 days
Register online: https://bit.ly/2Go1ZuK
Organizer: DATA-AFRIQUE CONSULTANCY (www.data-afriqueconsultancy.org)
Course fee: KSH 70,000, USD 1,000

INTRODUCTION               

Increasing food demands due to high rates of population growth and major changes in political and economic and social systems have created an urgent need to develop new and revise many existing agricultural systems and practices. With climate change being a common global phenomenon, humanity continues to grapple with its effects among them being food insecurity, drought, and famine. Agriculture is essentially a spatial phenomenon which is not independent of location.

The three determinants of food security are availability, access, stability, and utilization. Food availability is associated with geographical and agricultural determinants of each area, such as domestic production, import capacity, food stocks, water availability, agriculture land, population density and distribution

GIS is an exploration tool into the use of spatial reasoning methods, to identify regions at risk, due to inadequate food and water resources, which are a result of inherent environmental scarcity. GIS provides a set of tools for evaluating and understanding food security. Several strategies have been developed using GIS and remote sensing techniques, which contribute knowledge and understanding to food security.

This training will seek to understand GIS techniques, which examine local food environments, assess changes in land use and land cover, and identify areas of importance in specific regions to determine the relationships between biophysical and socioeconomic attributes.

COURSE OBJECTIVES

By the end of this course the participants will be able to:

  • Basic concepts of GIS
  • A refresher on sustainable agriculture and food security
  • Spatial data sources for agriculture and food security
  • Analysis of spatial agriculture and food security data
  • Creation of food security risk maps

DURATION

5 Days

WHO SHOULD ATTEND

The course targets government representatives, project teams, NGOs, multi and bilateral development organizations, consultancies, etc, who work as Agricultural specialists, project managers, researchers and technical specialists.

COURSE CONTENT

Module 1: Basics of GIS

  • Concepts and terminologies of GIS
  • Spatial information introduction
  • Agriculture and food security concepts introduction
  • Introducing GIS in agriculture and food security
  • GIS system installation planning
  • GIS software

Module 2: Basics of Agriculture and Food Security

  • Food Security
  • Food System
  • Food Chain

Module 3: Agriculture Spatial Data Collection

  • Data sources for disease information mapping
  • Mobile data collection using ODK.
  • Data collection using handheld GPS devices
  • Integrating GPS and ODK data into a GIS environment

Module 4: Spatial Analysis of Agriculture Related Data

  • Creating yield maps
  • Analysis of precision agriculture data

Module 5: Creation of Food Security Risk Maps

GIS application in Agriculture

  • GIS in yield monitoring and mapping
  • Using GIS to report food security information
  • Food security early warning systems and drought monitoring
  • Characterizing soil spatial variability
  • Site‐specific soil management: prescription maps
  • Use of GIS and remote sensing in food security analysis

GENERAL NOTES

GIS AND REMOTE SENSING IN CONSERVANCY AND WILDLIFE MANAGEMENT COURSE

GIS AND REMOTE SENSING IN CONSERVANCY AND WILDLIFE MANAGEMENT COURSE

Start Date: 16 /12/2019 End Date: 20/12/2019 for 5 days
Register online: https://bit.ly/2Gr2bJQ
Organizer: DATA-AFRIQUE CONSULTANCY (www.data-afriqueconsultancy.org)
Course fee: KSH 70,000, USD 1,000

INTRODUCTION

Geographic Information Systems (GIS) involve collecting/capturing, storing, processing, manipulating, analyzing, managing, retrieving and displaying geo-referenced data. Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object. Wildlife management requires reliable and consistent information on the abundance, distribution of species and their habitats as well as threats. Therefore, the application of remote sensing (RS) and geographic information system (GIS) in the wildlife management and conservation aids in data collection and analysis of wildlife abundance, their distribution as well as providing data suitable for conservation planning and management.

COURSE OBJECTIVES

At the end of this course, the participant will be able to:

  • To introduce participants to the principles of GIS and Remote Sensing
  • To introduce participants to concepts of wildlife management and conservation
  • To expose participants to data capture, input, manipulation and display by GIS
  • To introduce participants to GPS/GNSS systems
  • To explain to the participants GIS database requirement and development for wildlife management and conservation
  • To introduce participants to the application GIS and Remote Sensing techniques in wildlife management and conservation
  • To develop sound basis of understanding applications of GIS and RS in Wildlife management and conservation through case studies

DURATION

5 Days

WHO SHOULD ATTEND

This course targets individuals working with wildlife especially the vets, tour guides, rangers, and all persons interested in learning about how to use GPS on wildlife.

COURSE CONTENT

This course reviews the application of remote sensing and GIS techniques in wildlife management and conservation under the following themes:

Module 1: Introduction and definitions of key concepts

  • Introduction to GIS and remote sensing in wildlife management and conservation
  • Introduction to GIS software
    • Planning for a GIS system installation
    • Working with a GIS software

Introduction to GPS

  • GPS data collection
  • GPS data download

Module 2: GIS data management

  • GIS data sources
  • Database creation and maintenance
  • Working with Data from different sources
  • Integrating GPS data into GIS
  • GPS application in spatial database development

Module 3: Mapping

  • Mapping wildlife distribution
  • Mapping wildlife resource requirements
  • Mapping and modeling habitat suitability for Wildlife
    • Habitats and habitat maps
    • Mapping suitability for wildlife
    • Accuracy of suitability maps
    • Modeling species-environment relationships
  • Transferability of species
  • Innovative mapping of wildlife and its physical Environment

Module 4: Analysis and Monitoring using GIS and remote sensing

  • Use of GIS and remote sensing in Spatial Analysis and Visualization
  • Monitoring Habitat Characteristics Using GIS and Remote Sensing

Module 5: public participation and mobile data gathering

  • Gathering GIS data using mobile phones
  • Participatory GIS

Case studies in conservancy and wildlife management

GENERAL NOTES

GIS DATA COLLECTION, MANAGEMENT, ANALYSIS, VISUALIZATION AND MAPPING TRAINING

GIS DATA COLLECTION, MANAGEMENT, ANALYSIS, VISUALIZATION AND MAPPING TRAINING

Start Date: 09/12/2019 End Date: 20/12/2019 for 10 days
Register online: https://bit.ly/2t6IwXB
Organizer: DATA-AFRIQUE CONSULTANCY (www.data-afriqueconsultancy.org)
Course fee: KSH 140,000, USD 2,000

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

GIS FOR DISEASE SURVEILLANCE MONITORING TRAINING

GIS FOR DISEASE SURVEILLANCE MONITORING TRAINING

Start Date: 02/12/2019 End Date: 06/12/2019 for 5 days
Register online: https://bit.ly/2BouAwP
Organizer: DATA-AFRIQUE CONSULTANCY (www.data-afriqueconsultancy.org)
Course fee: KSH 70,000, USD 1,000

INTRODUCTION

This course is technically designed to suit professionals in the job market through imparting practical skills on how to use GIS to overcome the major challenges faced during phases of a disease outbreak, surveillance, and monitoring.

Participants will acquire hands-on skills in the use of Geographic Information System (GIS) as a tool to capture, store, analyze, manage, and visualize disease cases data that is geographically linked.

COURSE OBJECTIVES

By the end of this course the participants will be able to:

  • Understand GIS key components
  • Understand the role of GIS in solving epidemiological and animal health related issues.

DURATION

5 days

WHO SHOULD ATTEND

The course is targeted at professionals who require knowledge and skills on the use of Geographic Information System (GIS) and Remote Sensing (RS) in their organization in the field of risk management.

COURSE CONTENT

Module 1:Basic GIS concepts

  • Basic concepts and terminologies of GIS
  • Introduction to spatial information
  • Introducing Epidemiology concepts
  • Introducing GIS in disease surveillance
  • GIS system installation planning
  • Working with a GIS software

Module 2: GIS data sources, data collection and integration techniques for Risk mapping

  • Data sources for disease information mapping
  • Mobile data collection using ODK.
  • Data collection using handheld GPS devices
  • Integrating GPS and ODK data into a GIS environment

Module 3: Disease Vulnerability and Risk Assessment using GIS

  • Types and methods of risk assessment, risk evaluation, cost-benefit analysis.
  • Assessment of elements at risk using GIS.
  • Application of GIS in Multi-criteria analysis in vulnerability assessment.
  • GIS in mapping disease causing vector location and distribution

Module 4: Application of Risk Information for Risk Reduction Planning

  • Visualization of risk information
  • Risk mapping
  • Disease monitoring

Spatial Mapping and Visualization in disease surveillance

  • GIS mapping of priority public health problems
  • GIS mapping of most at risk populations
  • Creating a risk map

Module 5: GIS for monitoring in Epidemiology and public health

  • GIS in Disease transmission and progression mapping
  • GIS as a Decision Support System for Public Health Management (What, where, when, how and why analysis)
  • Use of GIS in disease surveillance

GENERAL NOTES

GIS FOR MONITORING AND EVALUATION TRAINING

GIS FOR MONITORING AND EVALUATION TRAINING

Start Date: 02/12/2019 End Date: 06/12/2019 for 5 days
Register online: https://bit.ly/2t6laBu

Organizer: DATA-AFRIQUE CONSULTANCY (www.data-afriqueconsultancy.org)
Course fee: KSH 70,000, USD 1,000

INTRODUCTION

GIS is a computer system capable of assembling, storing, manipulating and displaying geographically referenced information, i.e. data identified according to their locations. This training will present a practical guide for using a geographic information system (GIS) integrated with Monitoring and Evaluation.

The five days training is aimed at helping development partners to monitor and evaluate the activities of specific projects intended to support M&E systems for sustainable programs and projects. The use of GIS in monitoring and Evaluation improves the effectiveness and communications of results to management, funding partners, and beneficiaries.

The integration of GIS in monitoring and Evaluation makes it possible to link, or integrate information that is difficult to associate through any other means. With GIS M&E/Researchers are able to use combinations of mapped variables to build and analyze new variables. Presenting data in the form of a map helps to understand the significance of where, when, and by whom. By using the GIS to link data from multiple programs the training will make it possible to understand the individual programs better but also better understand the relationship between the programs. Spatial analysis techniques will also help with driving outcomes measures.

COURSE OBJECTIVES

By the end of this course the participants will be able to:

  • Understand Monitoring and Evaluation (M&E) Systems
  • Understand key concepts in M&E and GIS
  • Learn how to developing an M&E-GIS System
  • Learn about the working of M&E information management systems
  • Learn how to collect data using mobile phones and GPS
  • Learn how to integrate existing M&E data with GIS
  • Learn how to analyze and visualize M&E data with the aid of GIS techniques
  • Learn how to integrate GIS into M&E activities

 

DURATION

5 days

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 one: An Overview of GIS and Monitoring and Evaluation

  • Introducing M&E
  • M&E Key components
  • Basic Concepts of GIS
  • GIS Software; the General Overview
  • Open Source GIS Software

Module 2: New technologies being adopted in project M&E

  • Mobile phones in M&E
  • GPS devices and M&E
  • Participatory videos for M&E
  • Supporting bottom-up learning
  • Using ICT to make real-time M&E
  • Examples of M&E systems incorporating GIS

Module three: The GIS Interface

  • The QGIS Interface
  • Adding Vector Data
  • Exploring the Map View
  • Exploring Features
  • Adding Raster Data
  • Saving Your Project

Module four: Geographic Analysis of M&E data

  • Creating New Project from Existing One
  • Geoprocessing Shapefiles
  • Joining and Mapping Attribute Data
  • Plotting Coordinate Data
  • Running Statistics and Querying Attributes
  • Drawing Buffers and Making Selections
  • Screen Captures

Module Five:  Thematic Mapping of M&E data

  • Transforming Map Projections
  • More Geoprocessing
  • Creating Calculated Fields
  • Classifying and Symbolizing Data
  • Designing Maps
  • Adding Labels

GENERAL NOTES

GIS AND MAPPING IN CRIME ANALYSIS TRAINING

GIS AND MAPPING IN CRIME ANALYSIS TRAINING

Start Date: 02/12/2019 End Date: 06 /12/2019 for 5 days
Register online: https://bit.ly/2Se9WK7
Organizer: DATA-AFRIQUE CONSULTANCY (www.data-afriqueconsultancy.org)
Course fee: KSH 70,000, USD 1,000

INTRODUCTION

Crime analysis is a law enforcement function that involves systematic analysis for identifying and analyzing patterns and trends in crime and disorder. Information on patterns can help law enforcement agencies deploy resources in a more effective manner, and assist detectives in identifying and apprehending suspects.

The training is meant to synthesize current concepts mostly of Geographical Information systems and mapping and technological advancements in the field of crime analysis.

COURSEOBJECTIVES

By the end of this course the participants will be able to:

  • GIS and mapping terminology
  • GIS application in crime analysis and mapping
  • GIS application in crime solving
  • Geocoding of spatial data
  • Analysis of spatial data related to crime

WHO SHOULD ATTEND?

The training is meant for persons majorly on law enforcement who want to learn how to integrate GIS and mapping in crime analysis.

DURATION

5 Days

COURSE CONTENT

Module 1

  • Definition of Core terms
  • Types of Crime Analysis
  • Crime Analysis Model

Module 2: Introduction to Crime Analysis Mapping

  • Historical Overview
  • Types of Mapping
  • Crime Analysis Mapping
  • GIS Components
  • Data of geographic features
  • GIS toolbox
  • Visual display/mapping
  • Querying GIS data
  • Map Scanning and Conversion
  • Geo-Referencing
  • Digitizing
  • Creation of Point Map
  • Database Design
  • Buffer Zone Generation, Queries and Crime Pattern Analyses

Module 3: Introduction to Problem Solving

  • Definition of Problem Solving
  • SARA Approach to Problem Solving
  • Crime Analysis and Problem Solving

Module 4: Data and Geocoding

  • Types of Data
  • Tabular Data
  • Geographic Data
  • General Data Integrity Issues
  • Data Management
  • Metadata
  • Geocoding
  • The geocoding process

Module 5: Spatial Analysis Techniques

  • Single Symbol Mapping
  • Graduated Mapping
    • Graduation By Size
    • Graduation By Color
  • Classification Methods

Module 6: Crime Analysis Product Format and Dissemination

  • Factors to Consider
  • Methods of Dissemination
  • Components of Crime Analysis Products
  • Types of Crime Analysis Products
  • General Crime Analysis Product Elements
  • Map Design Elements

GENERAL NOTES

INTRODUCTION TO GIS USING ARCGIS DESKTOP COURSE

INTRODUCTION TO GIS USING ARCGIS DESKTOP COURSE

Start Date: 02/12/2019 End Date: 13/12/2019 for 10 days
Register online: https://bit.ly/2DUJexo
Organizer: DATA-AFRIQUE CONSULTANCY (www.data-afriqueconsultancy.org)
Course fee: KSH 140,000, USD 2,000

Introduction

A GIS (Geographic Information System) is a powerful tool used for computerized mapping and spatial analysis. A GIS provides functionality to capture, store, query, analyze, display and output geographic information. This course introduces GIS concepts and ArcGIS tools used to visualize real-world features, discover patterns, and communicate information. Using ArcMap and ArcGIS Online, the participants will work with GIS maps, explore data, and analyze maps and data as you learn fundamental concepts that underlie GIS technology.

COURSE OBJECTIVES

At the end of the course, the participant will be able to:

  • Find and organize geographic data and other content for a mapping project.
  • Display features on a GIS map and access information about them.
  • Perform spatial analysis to answer questions.
  • Share GIS maps and analysis results.

DURATION

10 days

WHO SHOULD APPLY

This course targets New Users; Data Editors; GIS Database Designers; GIS Managers; Data Editors; GIS Analysts; Map Designers; GIS Technical leads; and GIS Desktop Application Developers.

COURSE CONTENT

MODULE 1: The ArcGIS platform

  • Lesson introduction
  • The ArcGIS platform
  • Getting to know the ArcGIS platform
  • Components used in this course
  • Lesson review

 

MODULE 2: The basics of GIS

  • Lesson introduction
  • Applications of GIS
  • ArcGIS online
  • Sign in to ArcGIS Online
  • Choose a base map
  • Add a data fie to your map
  • Save and share your map
  • Lesson review

MODULE 3: Understanding GIS data

  • Lesson introduction
  • Turning geographic information into GIS data
  • GIS data models
  • Explore GIS data models in ArcMap
  • Which data model is better?
  • Working with tables
  • Documenting your data
  • Open ArcMap and create a folder connection
  • View data in a GIS
  • Identify various fie types
  • View an item description
  • Correct an error in an item’s metadata
  • Preview a dataset’s geography and table
  • Add data to the map
  • Lesson review

MODULE 4: ArcGIS online

  • ArcGIS Online content
  • GIS services and web maps
  • Web mapping applications and mobile apps
  • Tools and data from ArcGIS Online
  • Explore GIS content using ArcGIS Online
  • Browse ArcGIS Online for web content
  • Browse ArcGIS Online for desktop content
  • View an item’s details
  • Examine options for opening ArcGIS Online items
  • Lesson review

MODULE 5: The importance of coordinate systems

  • Lesson introduction
  • What is location?
  • How spatial data stores location
  • Geographic coordinate systems
  • Working with data in different geographic coordinate systems
  • Projected coordinate systems
  • Spatial properties and distortion
  • Understanding distortion
  • Work with coordinate systems
  • Identify the coordinate system for a dataset
  • Identify the coordinate system for another dataset
  • Identify a dataset with a different coordinate system
  • Identify a dataset with an unknown coordinate system
  • Assign a coordinate system to a dataset without a spatial reference
  • Change the coordinate system for a dataset
  • Lesson review

MODULE 6: Acquiring and selecting GIS data

  • Lesson introduction
  • Methods for obtaining GIS data
  • Accessing GIS data
  • Considerations for creating GIS data
  • Creating data
  • Considerations for choosing GIS data
  • Evaluating GIS data

MODULE 7: GIS Data

  • Gather and evaluate GIS data
  • Consider the data you need
  • Examine the data you have
  • Add data from another organization
  • Add data from ArcGIS Online
  • Transfer files from one geodatabase to another
  • Import shapefiles into the geodatabase
  • Lesson review

MODULE 8: Interacting with a map

  • Lesson introduction
  • Symbology and visualization
  • Finding, identifying, and selecting features
  • Asking questions and getting answers
  • Getting information from a GIS map
  • Explore a map using ArcMap
  • Navigate the map
  • Modify symbology
  • Identify features
  • Find features
  • Export selected features from a fie to a geodatabase
  • Select features
  • Examine an attribute table
  • View data change over time
  • Explore a map using ArcGIS Online
  • Navigate the map
  • Modify symbology
  • Identify features
  • Locate addresses and features
  • Select features and view an attribute table
  • Lesson review

MODULE 9: Performing spatial analysis

  • Lesson introduction
  • The geographic approach revisited
  • Questions you can answer with GIS
  • What is spatial analysis?
  • Geoprocessing in analyses
  • Common analysis tasks
  • Perform spatial analysis with common analysis tools
  • Open ArcMap and examine the map document
  • Extract features in your area of interest
  • Identify vulnerable facilities in Lee County
  • Overlay the Cat3 layer with Lee County
  • Identify hospitals close to the storm surge inundation polygon
  • Lesson review

MODULE 10: Sharing results

  • Lesson introduction
  • The importance of sharing results
  • Sharing content through ArcMap
  • Sharing content through ArcGIS Online
  • Export the map as a PDF
  • Create a map package and upload it to ArcGIS Online
  • Create a web map
  • Customize map symbology and save the map
  • Create a web mapping application

GENERAL NOTES

GIS FOR HEALTH SECTOR PROGRAMME MANAGEMENT TRAINING

GIS FOR HEALTH SECTOR PROGRAMME MANAGEMENT TRAINING

Start Date: 02/12/2019 End Date: 06/12/2019 for 5 days
Register online: https://bit.ly/2WKJvKT
Organizer: DATA-AFRIQUE CONSULTANCY (www.data-afriqueconsultancy.org)
Course fee: KSH 70,000, USD 1,000

INTRODUCTION 

This course offers an introduction to GIS and how it is used in public health and epidemiological research. It will introduce participants to the basics including working with and integrating spatial and non-spatial data; geographic scale and spatial precision; decoding; visualization; thematic mapping; and understanding spatial relationships. Specific skills and tools will be introduced in relation to assessing exposure to a range of environmental risks, and a particular focus will be given to methods for spatial linkage of exposure, contextual and confounder information for epidemiological or health risk assessment studies.

.COURSE OBJECTIVES

By the end of this course the participants will be able to:

  • Understand the basics of spatial data and its role in decision making
  • Undertake spatial analysis of environment and health data
  • Explain why geographic data and tools are important for health decision makers
  • Understand geography as a unifying framework and GIS as a tool to   collect, link, analyze, visualize, manage, and share data and information
  • Distinguish between the different tools used to collect, analyze, and    manipulate geographic data
  • Communicate with technical specialists to develop program-specific    geographic products Work with and integrate spatial and non-spatial data
  • Integrate data from different geographic scales and spatial precision
  • Geocode and visualize spatial data
  • Investigate spatial patterns of health risks and disease rates
  • Produce thematic maps and reports

DURATION

5 Days

WHO SHOULD ATTEND

Public health practitioners, epidemiologists, exposure scientists, quantitative health geographers, risk assessors, students.

COURSE CONTENT

Module 1: GIS for Health Sector Programme Management Introduction

  • Introduction to GIS
  • Basic concepts in GIS
  • GIS for health applications
  • GIS advantages in Health
  • Introduction to Quantum GIS(QGIS) and its user interface

Module 2: Spatial data collection techniques for health applications

  • Digitizing and scanning of maps
  • Using GPS
  • Using GPS utility software for managing and downloading and managing data
  • Using Mobile Phones (ODK) for GIS data collection
  • Importing GPS data to Quantum GIS
  • Extraction of data from GPS
  • Mapping GPS data
  • Bringing ODK data into a GIS

Module 3: Data Visualization

  • Map layers in GIS
  • Composing a GIS layout from GIS layers
  • Geoprocessing
  • Key elements of a map
  • Composing a map
  • Case study

Module 4: Geocoding tabular data

  • Creating health-care map layers
  • Spatially join and aggregate point data to create choropleth maps
  • Building and coding the new variables
  • Using data from databases database management
  • Project maps for health data analysis at different geographic scales
  • Techniques of overlaying GIS data
  • Extracting subsets of GIS data for mapping
  • Prepare incidence and prevalence maps

Module 5: Case Study: Studying disease outbreaks

  • Visualize malaria mortality by regions
  • Use buffer analysis to identify affected populations
  • Participatory mapping for disease outbreaks

GENERAL NOTES

GIS AND REMOTE SENSING FOR SUSTAINABLE FOREST MONITORING AND MANAGEMENT COURSE

GIS AND REMOTE SENSING FOR SUSTAINABLE FOREST MONITORING AND MANAGEMENT COURSE

Start Date: 02/12/2019 End Date: 13/12/2019 for 10 days
Register online: https://bit.ly/2TyKLPj
Organizer: DATA-AFRIQUE CONSULTANCY (www.data-afriqueconsultancy.org)
Course fee: KSH 140,000, USD 2,000

INTRODUCTION 

Forestry involves the management of a broad range of natural resources within a forested area. We all agree Forestry is complex, dynamic, and multidimensional. GIS technology profoundly and positively impacts the way land managers, timber managers, and forestry specialists manage timber resources. Having accurate geographical information about land is critical to making informed decisions about how to manage it.  Digital maps can be linked to relational databases that store baseline data, topography information, site documentation, and aerial digital photography. Designing and implementing a comprehensive GIS plan is the foundation for sound forest management and wildlife management decisions.  Additionally, a GIS plan is an integral part of developing a forest management plan.

COURSE OBJECTIVES

At the end of this course, the participant will be able to:

  • Obtain and Integrate data from disparate sources to a GIS System
  • Learn the principles of GIS and Remote Sensing and its application in forestry
  • Learn how to collect data using mobile phones and GPS in the forestry context
  • Learn satellite digital image processing techniques in forest resource management
  • Learn how to map forest inventory
  • Learn how to handle emergency in the forest context
  • Learn how communities can be involved in forest resource management
  • Learn how to publish web based map
  • Display data in 3D Apply GIS to solve simple practical problems forestry
  • Learn forest planning and management skill using remote sensing and GIS

DURATION

10 Days

WHO SHOULD ATTEND

People who require additional skills like Forest Planners, foresters, forest conservation technicians.

COURSE OUTLINE

Module 1

Introduction and definitions of key concepts

  • Introduction  concepts of GIS and remote sensing in Forest resource management
  • Planning for a GIS system installation
  • Introduction GIS data collection using GPS

Module 2

Gathering data using mobile phones using (ODK)

Module 3

  • Integrating GPS data into GIS
  • GIS Data sources and types for forestry
  • Working with data from different sources
  • Geo database creation and maintenance for forest resources
  • Attributes manipulation in GIS
  • Facilitated practical exercises in working with tabular data in Excel format

Module 4

Digital Image Processing Techniques in Forest Resource Management

  • Obtaining satellite Imagery for forest resource management
  • Satellite Image processing and calibration for resource management

Module 5

  • Forest cover classification using supervised classification
  • Forest cover classification using unsupervised classification

Module 6

  • Accuracy assessment and ground Truthing technique
  • Forest Land use change detection maps

Module 7

Mapping Forest inventory

  • Inventory of Forest Land
  • Mapping habitat and Species
  • Mapping Forest recreation sites
  • Mapping forest vegetation type
  • Forestry mapping of plantations and zonal mapping
  • Mapping water forest resources
  • Carbon mapping techniques
  • Endangered species management

Module 8

Forest Planning and management

  • Using GIS and RS in Developing forest plans
  • Planning and scheduling of harvesting and planting tree
  • Determinations of forest stand conditions and forest health
  • Estimation of biomass and productivity
  • Environment impact assessment
  • Identifying sites for eco-restoration

Module 9

  • Vegetation index analysis
  • Monitoring emergencies
  • Damage assessment (fire, disease)
  • Fire and Emergency Mapping
  • Planning of road systems, bridges, water point, and land clearing

Climate Change Impact on Forests

  • Remote sensing and GIS for climate change mitigation in forest ecosystems.
  • Forest ecosystem monitoring and modeling

Module 10

Participatory GIS

  • Public participation in forest management
  • Using Google earth in forest resource management
  • Web based Publishing for interactive and dynamic maps

Case studies on use of GIS and remote sensing in forest management

GENERAL NOTES