How To Use Spatial Analysis With Arcgis /Real Projects

Learn how to manage spatial data and spatial analysis with ArcGIS

What you'll learn

Spatial Analysis Techniques

Distance Analysis

Cost Path for suitable roads

Density Analysis

Line Density

Kernell Density

Interpolation Methods

IDW Interpolation

Krigging Method

Statistical Analyse

Conversion/Vector-Raster

Finding Most Suitable Urban Area/Raster Calculator

Weighted Overlay Anaysis

Modelbuilder

Supervised Classification

Unsupervised Classification

Requirements

ArcGIS Desktop 10.8

Description

Do you wanna learn how to use SPATIAL ANALYSİS in ArcGIS? Do you need to use GIS and spatial analysis in your work but don't know how to apply these analyses and don’t know the software to use for GIS-related work?Do you find GIS books and QGIS manuals not practical and looking for a course that takes you by hand, teach you all the concepts, and gets you started on a real-life GIS project?I'm very excited that you have found my Spatial Analysis with ArcGIS - Go from Basic To Expert Level course. I will demonstrate to you how to implement GIS  analyses in the latest version of ArcGIS Desktop software , thus that you could immediately start using vector/Spatial data  and raster analysis data as well  for your work and Spatial Analysis  projects. In this course, I will teach you how to work with the popular GIS software and its great tool "Spatial Analyse"  step-by-step that you can go from Beginner to Expert in GIS analysis in ArcGIS. ArcGIS Desktop software is Geographic Information System that supports most geospatial vector and raster file types and database formats. The program offers wide GIS functionality, with a variety of mapping features and data editing. This enables cutting-edge, global-scale analysis and visualization.My course provides you with all the necessary  practical skills to implement PRACTICAL Spatial analysis in ArcGIS software starting with  all the necessary knowledge and skills to implement your own independent Spatial Analysis in ArcGIS.This fundamental 7-hours course is designed to equip you with the theoretical and practical knowledge of applied GIS analysis.By the end of the course, you will:- Learn how to  make distance analysis- Feel confident and completely understand the basics of Density Analysis- Learn how to prepare weighted overlay analysis after process of Spatial data- Learn in ArcGIS how to perform classification for satelite raster analysis - Visualize GIS data and produce Spatial Analysis maps for your reports- And moreThe course is ideal for professionals such as GIS users, geographers, programmers, social scientists, geologists, anyone who wants to learn GIS & Spatial Analysis  and all other experts who need to use maps in their field and would like to learn more about geospatial analysis a in ArcGIS.So, don't wait and enrol now to become GIS professional tomorrow!

Overview

Section 1: Introduction of the course

Lecture 1 Introduction

Section 2: Spatial Analysis Techniques

Lecture 2 Density Analysis/Presentation

Lecture 3 Distance Analysis /Euclidian Distance(Application 1)

Lecture 4 Cost Path and Cost Path as Polyline(For Most Suitable Roads)Application2

Lecture 5 Density Analysis/Evaulate Data

Lecture 6 Line Density

Lecture 7 Density Analysis/Kernell Density/Virus Spread Scenario

Section 3: Creating Continuous Surface

Lecture 8 Interpolation Methods/Presentation

Lecture 9 IDW Method (Calculating of Clay Amount in Soil)

Lecture 10 IDW with Barier or Stream (Calculating of Clay Amount in Soil )

Lecture 11 Krigging Method (How to find pollution in Lake)

Lecture 12 Accuracy of the continous surface

Section 4: Statistical Analyse in Spatial Analyse

Lecture 13 Statistic/Presentation

Lecture 14 How to use tabulate areas

Lecture 15 How to use cell statistic values

Lecture 16 Crime analysis by using crime datas

Section 5: Reclassification

Lecture 17 Reclassification Process/Raster

Section 6: Conversion

Lecture 18 Conversion /Vector to Raster

Section 7: Finding Potential Disaster Areas/Raster Calculator

Lecture 19 Raster Calculator

Section 8: Suitable Urban Areas

Lecture 20 Creating analysis maps

Lecture 21 Reclassification of criteria maps

Lecture 22 Weighted Overlay Analysis

Section 9: Modelbuilder

Lecture 23 Modelbuilder/Presentation

Lecture 24 How to use DEM by using Model Builder

Section 10: Classification of satelite image

Lecture 25 Classification/Powerpoint

Lecture 26 Unsupervised Classification

Lecture 27 Interactive Supervised Classification

Lecture 28 Maximum Likelihood Classification

Surveying Engineer,Urban Planner,Geologist Engineer,Agriculture Engineer,Data Experts,Anyone who wants to learn spatial analysis