Introduction to Spatial Data in R
Introduction to Spatial Data in R
This two-part workshop will introduce essential concepts for working with spatial data in R, such as point and line data, polygons, raster data, and geographic projections.
Loading view.
Centre for Scholarly Communication
Calendar of Events
S Sun
M Mon
T Tue
W Wed
T Thu
F Fri
S Sat
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
1 event,
2 events,
Introduction to Spatial Data in R
Introduction to Spatial Data in R
This two-part workshop will introduce essential concepts for working with spatial data in R, such as point and line data, polygons, raster data, and geographic projections.
Researcher Drop-Ins with the CSC, featuring the Office of Research Services
Researcher Drop-Ins with the CSC, featuring the Office of Research Services
Researchers, meet your Okanagan research support team! Come join us to connect with friendly faces who are always there to support solutions for your scholarly communication and digital or data-intensive research needs.
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
1 event,
Researcher Drop-Ins with the Centre for Scholarly Communication
Researcher Drop-Ins with the Centre for Scholarly Communication
Researchers, meet your Okanagan research support team! Come join us to connect with friendly faces who are always there to support solutions for your scholarly communication and digital or data-intensive research needs.
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
2 events,
Simple Linear Regression
Simple Linear Regression
This workshop will introduce linear models (i.e., one-way ANOVAs), their assumptions, and limitations, in a format tailored towards visual and spatial learners.
Free
Researcher Drop-Ins with the Centre for Scholarly Communication
Researcher Drop-Ins with the Centre for Scholarly Communication
Researchers, meet your Okanagan research support team! Come join us to connect with friendly faces who are always there to support solutions for your scholarly communication and digital or data-intensive research needs.
0 events,
1 event,
Population, Sampling, Sampling Distribution and Central Limit Theorem
Population, Sampling, Sampling Distribution and Central Limit Theorem
This session will introduce participants to the foundational concepts of statistical inference, including population distributions and the process of random sampling. Attendees will learn how sampling distributions evolve towards normality as sample sizes increase and will visually explore the Central Limit Theorem.
By the end of the session, participants should be able to visualize and understand population distributions, illustrate random sampling processes, recognize the normalizing effect of larger samples on sampling distributions, and demonstrate the Central Limit Theorem visually.
Free
