GIS and Spatial Analysis Fundamentals – IV (Map visualization)

By |

This is the fourth workshop about the fundamentals of GIS and spatial analysis this semester. Each workshop covers one or two key elements and is self-contained. The focus is on conceptual details that can provide sufficient preparation for applications, but we will also touch upon the technical aspects. Most workshops will have at least one hands-on exercise. Typically, each workshop is divided into one hour of lecture-style presentation and half an hour of hands-on exercises. Unless mentioned otherwise, we will use R and/or QGIS.

 

This workshop will focus on basic cartography principles for map-making and explore the functionalities of R and QGIS for making production-quality single- and bi-variate static and dynamic choropleth map. We will also explore the functionalities of leaflet, a powerful JavaScript library, to create web maps and add extra information via elements such as pop-ups.

 

Participants should have some familiarity with R, but exposure to QGIS is not required.

GIS and Spatial Analysis Fundamentals – III (Geocoding)

By |

This is the third workshop about the fundamentals of GIS and spatial analysis this semester. Each workshop covers one or two key elements and is self-contained. The focus is on conceptual details that can provide sufficient preparation for applications, but we will also touch upon the technical aspects. Most workshops will have at least one hands-on exercise. Typically, each workshop is divided into one hour of lecture-style presentation and half an hour of hands-on exercises. 

 

Geocoding (or sometimes reverse geocoding) is often a very first step in many geospatial analyses. There are many options available for geocoding with different degree of accuracy. A basic understanding of the process helps you in choosing the best option. The workshop will cover basic concepts in geocoding, different open-source and proprietary options available, accuracy and reliability in geocoding, and best practices. We will use R and ArcGIS.

GIS and Spatial Analysis Fundamentals – II (Data models: vector, network)

By |

This is the second workshop about the fundamentals of GIS and spatial analysis this semester. Each workshop covers one or two key elements of GIS and spatial analysis and is self-contained. The focus is on conceptual details that can provide sufficient preparation for applications, but we will also touch upon the technical aspects. Most workshops will have at least one hands-on exercise. The first one hour of the workshop is a lecture-style presentation, followed by the next half-hour for the hands-on exercises. Unless mentioned otherwise, we will use R and/or QGIS for the hands-on portion. 

 

How data is recorded in digital systems has significant implications for accuracy, algorithms, and the type of analyses that can be undertaken.  In this workshop we will cover data structure for vector and network data in the context of a 2-D GIS system. The focus is on developing a basic understanding of elements such as essential primitives, how more complex objects are derived from the primitives, and different formats and file systems. 

 

Participants should have some familiarity with R, but exposure to QGIS is not required.

GIS and Spatial Analysis Fundamentals – I (Coordinate system)

By |

This is the first workshop about the fundamentals of GIS and spatial analysis this semester. Each workshop covers one or two key elements of GIS and spatial analysis and is self-contained. The focus is on conceptual details that can provide sufficient understanding for applications, but we will also touch upon the technical aspects. Most workshops will have at least one hands-on exercise. Typically, each workshop is divided into one hour of lecture-style presentation and half an hour of hands-on exercises. Unless mentioned otherwise, we will use R and/or QGIS for the hands-on portion. 

 

There are 100s of coordinate systems and datums available in modern software that provide GIS functionalities. A basic understanding of different coordinate systems, their strength and limitations, and conversion between different systems are essential for choosing the right system and manipulating geographically referenced data. In this workshop we will cover basics of coordinate systems for 2-D GIS from an applied perspective. 

 

Participants should have some familiarity with R, but exposure to QGIS is not required.

GIS Fundamentals – (Map visualization – II)

By |

This workshop will further develop the material covered on mapping in the first workshop a few weeks back. We will focus on basic cartography principles for map-making and explore the functionalities of R and QGIS for making production-quality bi-variate static and dynamic choropleth maps. We will also explore the functionalities of leaflet, a powerful library, to create web maps and add extra information about more than two variables.

Participants should have some familiarity with R, but exposure to QGIS is not required.

GIS Fundamentals – (PostGIS-II)

By |

This workshop will further develop the material covered on spatial databases in the first workshop a few weeks back. PostGIS is the most widely used spatial database and is built on top of PostgreSQL, a powerful open source relational database. The focus of this workshop is to exploit PostGIS to deal with big vector data, and use familiar tools in R to reduce the burden to learn SQL.

This is a hands-on workshop. Please make sure that you have PostgreSQL installed along with pgAdmin.

Participants should be familiar with vector data processing in R.

GIS Fundamentals – VI (Map visualization)

By |

This is the sixth workshop in a series of workshops we are offering this semester on the fundamentals of GIS. Each workshop covers one or two key elements of GIS and is self-contained. The focus is on conceptual details that can provide sufficient preparation for applications, but we will also touch upon the technical aspects.

This workshop will cover basic concepts and tools available in QGIS and R for visualizing vector spatial data as single and bi-variate static choropleth maps. We will focus on basic cartography principles for map-making and explore the functionalities of R and QGIS for making production-quality maps.

Participants should have some familiarity with R, but exposure to QGIS is not required.

Geostatistics – II

By |

In many situations, we observe a process over a limited number of locations and are interested in estimating its values at nearby unsampled locations. Geostatistical methods provide a powerful tool to do this. In this session, we will build upon the material and intuitions covered in the first workshop. We will focus on the principles, application, and interpretation of results using R, and will cover topics such as variogram modeling, empirical variogram, estimation techniques, and prediction uncertainty.

You should be familiar with R and the basic concepts of GIS data, should have taken an introductory course in statistics, and know the basics of linear algebra.

Mapping tools for COVID-19 data – II

By |

This is the second workshop in this series and will build on the material and the techniques covered in the first workshop. We will use COVID-19 data available here https://github.com/nytimes/covid-19-data, combine it with other data such as from Census and will learn about creating maps, including web maps, that involve more than one variable.

We will use R and QGIS. You should know the basics of vector data GIS and introductory techniques of classification and clustering, be a regular R user, and should have some familiarity with QGIS.

R IV: Visualization

By |
This session will be held online, and presenters will be in touch with more information after you register.
Visualizing the results of research is a key aspect in facilitating scientific communication to a broad audience. The focus of this workshop will be on using common tools in R for visualization, general concerns in producing visual information, and demonstration of approaches that allow for interactivity.
Prereq: Some experience using R is required (R I, preferably R II workshops), as well as exposure to basic statistical analysis would be beneficial.