Foundations of Geographic Information Systems Final Project
usaggwp
Lecture7.pptGIS 5103 – Fundamentals of GIS
Lecture 7
Intro to R-Studio & Python for GIS
Week 7
Winter 2019
What is R-Studio & why should I use it?
- Free open-source integrated coding language.
- Powerful computing/programing & simple UI
- Also very popular
Intro to R & Python - Lecture 7
- Applications & Capabilities
- Statistics
- Graphics
- Programing
- Calculator
- GIS
- Neural Networks
- Etc.
Intro to R & Python - Lecture 7
Intro to R & Python - Lecture 7
- Installing
- https://courses.edx.org/courses/UTAustinX/UT.7.01x/3T2014/56c5437b88fa43cf828bff5371c6a924/
- Set working Directory
- Defining the working area / confining thinking space / Files of interest located here
Intro to R & Python - Lecture 7
- Import Data
- Files of interest located in working directory.
Intro to R & Python - Lecture 7
Manipulate & Organize Data
Intro to R & Python - Lecture 7
- Various functions for parameters of interest
- Able to work with data and create data.
- Convert, Transpose, data with single commands.
- Plots / Diagrams
- plotMF(object.cls)
- plotMF(object)
Intro to R & Python - Lecture 7
Most Popular Uses of R
- Data Management
- Conversion, sub-setting, merging, transformations
- Statistical & Mathematical Analysis
- ANOVA’s, Modeling, Regressions
- Programming / Operations / System Interface
- Automation, Special Conditions
- Graph / Data Display / Configuration
- Data Visualization, High Customization
- Simulations
- High level scenario modeling
Intro to R & Python - Lecture 7
Variables
Can define characters/numbers as nearly anything
x = 5
First_Name = Mike
f = (sin(y) / tan(sum(z)) * variance(y/z)
Name – Type – Size – Value
Created Title– character/matrix/list – Bytes/KB/MB – Output
Intro to R & Python - Lecture 7
Functions & Syntax
Mean(x, trim = 0, na.rm = FALSE, …)
Function(input, argument 1, argument 2, …)
*Commas used to separate arguments/inputs*
Intro to R & Python - Lecture 7
Intro to R & Python - Lecture 7
- Help Dialogue
Intro to R & Python - Lecture 7
What is Python & why should I use it?
- Object-orientated, high level programming language with dynamic semantic
- Built in data structures, dynamic typing/binding
- Used as glue to connect programs / components together.
- Supports modules / packages / code re-use
Intro to R & Python - Lecture 7
Python Libraries = R-Studio Packages
- GIS Libraries
- GDAL
- OGR
- Pyproj
- Shapely
- Mapnik
- MySQL
- PostGIS
- SpatiaLite
Intro to R & Python - Lecture 7
- How to download Python
- https://realpython.com/installing-python/
- How to Pip install libraries
- https://packaging.python.org/tutorials/installing-packages/
Intro to R & Python - Lecture 7
Intro to R & Python - Lecture 7
How we will use python & Libraries
- Example of ArcGIS & python
- https://developers.arcgis.com/python/sample-notebooks/chennai-floods-analysis/
Intro to R & Python - Lecture 7
- GIS Automation
- Python
- R-Studio
- Model Builder
Intro to R & Python - Lecture 7
Common Automated processes
- Address systems
- Data Updating
- Map Templating
- Spatial Joins
- Digitizing
- Calculations
- Models
- Work Flows
Intro to R & Python - Lecture 7
After reviewing this lecture you should be able to:
- List applications/uses of a coding languages
- Know many of the popular input file types
- Understand/Replicate functions, syntax, style
- Know the names of essential packages/libraries
- List commonly automated tasks
- Be able to download & Install the softwares
Intro to R & Python - Lecture 7
