All posts by aimandel

#maptimeDavis – Intro to R Spatial

Example Land Use ClassificationWhen:
October 15th, 2018 @ 1:00 – 3:00 pm
Location:
DSI Classroom (360 Shields Library)
Cost:
Totally FREE!
Prerequisite:
No experience necessary!

 

Presenters: Robert Hijmans

About: RSpatial.org, led by Dr. Hijmans, we’ll cover how to process and manipulate spatial data using R. Here is your chance to learn from one of the best! Please join us for this introduction into R Spatial.


How to prepare:

      1. Register for Event
      2. Bring Laptop
      3. Download and install latest version of R and RStudio

     


#maptime Davis is brought to you by the UC Davis Library’s Data Management Program & the UC Davis Center for Spatial Sciences with help from several campus clubs and informal learning groups.  Space is generously provided by the Data Science Initiative (DSI).

#maptimeDavis Fall 2018 Schedule

#maptime is time for making maps! Join the UC Davis geospatial community for a mapping skills workshop series.  Workshops take place Mondays 1:10-3:00pm in the DSI Classroom, 360 Shields Library.  Register for workshops on the UC Davis Library’s Workshops Page.

Intro to QGIS

Date Topic Speaker
1-Oct Humanitarian OpenStreetMap Mapathon *** Register The Geospatial Community
8-Oct *** Register Sierra Mabanta
12-Oct Special Event: Install Fest 9:00-12:00 DSI & Center for Spatial Sciences
15-Oct Intro to R Spatial
*** Register
Robert Hijmans
22-Oct Analyzing Drone Data
*** Register
Taylor Nelsen
29-Oct Spatial SQL
*** Register
Michele Tobias
5-Nov Open Source Cartography
Amber’s talk rescheduled TBA
*** Register
Michele Tobias
12-Nov Holiday: Veterans’ Day No Workshop
14-Nov Special GIS Day Event: Women in GIS Meetup (Location: TBA) Shannon DeArmond
19-Nov Data Visualization Challenge
*** Register
Center for Spatial Sciences
26-Nov Data Fusion in Remote Sensing
*** Register
Yufang Jin’s Lab
3-Dec Remote Sensing Challenge
*** Register
Center for Spatial Sciences

#maptime Davis is brought to you by the UC Davis Library’s Data Management Program & the UC Davis Center for Spatial Sciences with help from several campus clubs and informal learning groups.  Space is generously provided by the Data Science Initiative (DSI).

#maptimeDavis R – Species Distribution Modeling: Bigfoot

yeti.svg

When? Tuesday, May 29, 1:00-3:00 in the DSI Classroom – room 360 Shields Library

Come learn to predict species distributions based on observation data, using R. Following a tutorial from Rspatial.org, Elise Hellwig will coach us through modeling the distribution of Sasquatch using the R programming language.

Continue reading #maptimeDavis R – Species Distribution Modeling: Bigfoot

#maptimeDavis Planet, a remote sensing data source

 

Plaent-May-2018
Flooding in the Yolo Bypass in 2017 captured by Planet doves (© 2017 Planet)

When? Tuesday, May 22, 1:00-3:00 in the DSI Classroom – room 360 Shields Library

Orestis Herodotou, Software Engineer at Planet, a satellite imaging company in the Bay Area, will be coming to show everyone how to work with Planet data (satellite imagery with an almost daily return interval).  Don’t miss this workshop because it won’t be offered again soon.

Continue reading #maptimeDavis Planet, a remote sensing data source

#maptimeDavis Collecting Location Data with Phones and Tablets

When? Tuesday, May 15, 1:00-3:00 in the DSI Classroom – room 360 Shields Library

Anywhere you go, you can be a sensor and collect all sorts of useful geographic data. We’ll cover a variety of options, how to use them and how to extract data, including:

  • GPS Tracking
  • Field maps
  • GeoTagging Photos
  • Field Forms with location
  • Geographic Annotations

Continue reading #maptimeDavis Collecting Location Data with Phones and Tablets

When data disagree: Incorporating information from multiple sources into a comprehensive spatial model

Quinn_unSeminar_2018Presented by Quinn Hart (Digital Applications Manager, UC Davis Library)

Tuesday, MAY 8th 2018,
12-1pm @ the DSI ,
Shields Library Room 360

 

unSeminar Abstract:

Satellite imagery and GIS modelling allow us the power to address complex environmental questions over large regions.  But, what how do we address issues when these data don’t agree with more local sensors?  Can we combine data from multiple sources, with varying resolutions and biases, into a single, comprehensive spatial model? We will discuss a modelling effort being conducted in collaboration with California Irrigation Information Management Information System (CIMIS) program to create new Evapotranspiration maps of California water use zones based on data from the Department of Water Resources (DWR) weather stations and the GOES weather satellite, collected over 13 years. The spatial modelling efforts have led to inconsistencies with some DWR weather stations being assigned to inappropriate zones.  How can we best utilize all of the available data and correct for these mismatches? How will we know if the implemented changes are good ones?

This talk may be of interest to those thinking about data integration, geospatial and modelling errors, evapotranspiration research, and working with DWR and other weather data.

Continue reading When data disagree: Incorporating information from multiple sources into a comprehensive spatial model