Advanced spatial analysis using Python with ArcGIS Course

Introduction

The course will equip participant with skills in advanced use of Python programming language along with ArcGIS Desktop collection software on: process and tasks automation, vector and raster analysis, map generation and publication, geoprocessing model creation, etc.

The participant will be trained in the advanced use of Python programming language, will learn how to create Add-ins or how to build custom UI tools for ArcGIS (ArcMap). Advanced vector and raster analysis using Python will also be included in the training process.

DURATION

10 Days

COURSE LEVEL:

Register for the course


Face to Face Schedules By Location
Nairobi Schedules:
Code Date Duration Location Fees
AUA004 27 Feb 2023 - 10 Mar 2023 10 days Nairobi, Kenya KES 150,000 | USD 2,200 Register
AUA004 27 Mar 2023 - 7 Apr 2023 10 days Nairobi, Kenya KES 150,000 | USD 2,200 Register
AUA004 24 Apr 2023 - 5 May 2023 10 days Nairobi, Kenya KES 150,000 | USD 2,200 Register
AUA004 26 Jun 2023 - 7 Jul 2023 10 days Nairobi, Kenya KES 150,000 | USD 2,200 Register
AUA004 24 Jul 2023 - 4 Aug 2023 10 days Nairobi, Kenya KES 150,000 | USD 2,200 Register
AUA004 21 Aug 2023 - 1 Sep 2023 10 days Nairobi, Kenya KES 150,000 | USD 2,200 Register
AUA004 18 Sep 2023 - 29 Sep 2023 10 days Nairobi, Kenya KES 150,000 | USD 2,200 Register
AUA004 23 Oct 2023 - 3 Nov 2023 10 days Nairobi, Kenya KES 150,000 | USD 2,200 Register
AUA004 20 Nov 2023 - 1 Dec 2023 10 days Nairobi, Kenya KES 150,000 | USD 2,200 Register
AUA004 11 Dec 2023 - 22 Dec 2023 10 days Nairobi, Kenya KES 150,000 | USD 2,200 Register
Kigali Schedules:
Mombasa Schedules:
Nakuru Schedules:
Kisumu Schedules:
Naivasha Schedules:
Virtual Trainer Led Schedules
Contact Us on (+254) 715 077 817 / (+254) 792 516 000 or email us [email protected] for a virtual schedule.
Code Date Duration Period Fees
E-Learning

Contact Us on (+254) 715 077 817 / (+254) 792 516 000 or email us [email protected] for E-Learning course.


Objectives

  • Learn how to build custom UI (user interfaces) for ArcMap using Python Add-ins.
  • Familiarize with the ArcPy objects and libraries in order to perform complex spatial analysis.
  • Gain knowledge about spatial data management using integrated ArcPy libraries.

Module 1: The data access module, ArcPy.DA

  • What is the data access module?
  • Accessing data using cursors
  • Edit sessions
  • Work with versions, domains and subtypes

Module 2: Creating custom tools for ArcGis with python scripting

  • First steps to create a Python script tool
  • Progress messages
  • Write messages in script tools
  • Understanding Progressor in script tools
  • Progressor functions and capabilities

Module 3: Develop add-ins for ArcGis desktop with python

  • Introduction to Add-In
  • Creating a Python Add-In tool
  • Share and install Add-Ins
  • Editing Add-Ins
  • Python Miscellaneous Topics

Module 4: Create graphics with Arcpy

  • Introduction
  • Graph
  • Graph proprieties
  • Graph methods
  • Make Graph
  • GraphTemplate
  • Exporting a graph to a native format
  • Save Graph

Module 5: Convert Geojson objects to Geometry

  • What is the GeoJSON format?
  • GeoJSON code example
  • Converting geometries between GeoJSON and ArcPy objects

Module 6: Advanced Tools

  • Introduction
  • FieldMappings processes
  • Proprieties and methods of FieldMappings object
  • The FieldMappings object
  • Working with multivalue inputs
  • Working with feature sets and record sets
  • Create and use RecordSet/FeatureSet objects
  • Create RecordSet/FeatureSet from input tools
  • How to get results from a geoprocessing server tool

Module 7: Using Custom toolboxes

  • Importance of custom geoprocessing tools
  • Use a custom geoprocessing tool
  • ArcGIS Server toolboxes
  • Geoprocessing tasks with Python scripts

Module 8: Manage Arcsde Geodattabase with Python

  • Introduction
  • Validate table names
  • Validate field names
  • How to parse table and field names
  • Using SQL with ArcSDE
  • Transactions with ArcSDESQLExecute
  • Workflow Transactions

Module 9: Introduction to Raster analysis with spatial analyst module of A       rcpy

  • Introduction to Spatial Analyst module of ArcPy
  • Raster – ArcPy Classes
  • Working with Raster Objects – overview of Map Algebra
  • Raster Dataset properties
  • Raster Methods
  • An overview of Spatial Analyst classes
  • An overview of neighborhood classes

Module 10: Case study Assignments


Course Administration Details:

METHODOLOGY

The instructor led trainings are delivered using a blended learning approach and comprise of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

ACCREDITATION

Upon successful completion of this training, participants will be issued with an Indepth Research Institute(IRES) certificate certified by the National Industrial Training Authority (NITA).

TRAINING VENUE

The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

ACCOMMODATION AND AIRPORT PICKUP

Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.

Email:[email protected] or [email protected]

 

Mob: +254 715 077 817/+250789621067

TAILOR- MADE

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817/+250789621067

Mob: +254 792516000+254 792516010 , +250 789621067 ,or mail [email protected] or [email protected]

 

PAYMENT

Payment should be transferred to IRES account through bank on or before start of the course.

Send proof of payment to [email protected] or [email protected]

 


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