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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230126T130000
DTEND;TZID=America/New_York:20230126T160000
DTSTAMP:20260414T223527
CREATED:20221129T183709Z
LAST-MODIFIED:20230125T185917Z
UID:18399-1674738000-1674748800@gic.geog.mcgill.ca
SUMMARY:Introduction to Working with GeoPandas in Python
DESCRIPTION:Geopandas are an open source project to make working with geospatial data in Python easier. GeoPandas extends the data types used by pandas to allow spatial operations on geometric types. \nBy the end of this workshop\, you will be able to: \n\nunderstand the basics of working with pandas and shapely in Python\nunderstand different geospatial data types to use in Python\nhow to use geoseries and geodataframes\nreading\, writing\, and plotting vector data\nbuffers\, intersections\, and joins\n\nPrerequisite: beginner’s level understanding of Python programming. Should be able to use Jupyter Notebook. Comprehension of basic data types\, variables\, and operators. \nThis workshop will take place in classroom BH511 and will take about 2.5 hours. Registration for this workshop will be open until noon on the day of the workshop. The instructor will be Violet Massie-Vereker.
URL:https://gic.geog.mcgill.ca/event/2023-01-26/
CATEGORIES:2023,GIC workshop,Winter
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230112T130000
DTEND;TZID=America/New_York:20230119T160000
DTSTAMP:20260414T223527
CREATED:20211122T164841Z
LAST-MODIFIED:20230106T195029Z
UID:17694-1673528400-1674144000@gic.geog.mcgill.ca
SUMMARY:Introduction to working with PostGIS I & II
DESCRIPTION:Have you ever run into waiting for your GIS tool to run on a large geospatial data set? If you have\, or if you are just interested in learning about working with spatial databases\, this is your workshop! \nAt the end of this workshop you will be able to \n\nunderstand the conceptual basics of using PostGreSQL with PostGIS\ncreate a geospatial database with an spatial index\nconnect to and displaying PostGreSQL/PostGIS data in QGIS\nuse basic geospatial functions (reprojecting\, statistics\, intersection\, union\, buffers\, joins)\nimport/export data to and from the database\n\nPre-requisites: A basic understanding of GIS concepts. Further\, if you want to use your own laptop\, please have PostGreSQL 14 or higher and QGIS in the latest version pre-installed on your system. \nThis workshop will be held in person in Burnside Hall BH511 on 2 days and takes about 3 x 2.5 hours. The instructor will be Tim Elrick.
URL:https://gic.geog.mcgill.ca/event/2023-01-1219/
CATEGORIES:2023,GIC workshop,Winter
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221026T173000
DTEND;TZID=America/New_York:20221026T203000
DTSTAMP:20260414T223527
CREATED:20210601T233355Z
LAST-MODIFIED:20220913T005456Z
UID:17436-1666805400-1666816200@gic.geog.mcgill.ca
SUMMARY:Introduction to Remote Sensing with R
DESCRIPTION:Do you want to learn how you could use R to create a reproducible remote sensing workflow and analysis? This you your workshop. Please make sure you meet the prerequisites. \nAt the end of this workshop\, you will be able to \n\nsearch and download satellite images with R (e.g. Landsat8 and Sentinel)\nwork with satellite imagery in memory or when it is too big for memory\nto create spectral indices (e.g. NDVI) and spectral profiles\nto classify a satellite image\n\nPre-requisites? Basic understanding of remote sensing as can be gained\, e.g. from GEOG308; good understanding of base R\, e.g. from “R summer camp”. \nIf you want to be able to download images during the workshop you need to get your own accounts at USGS’s EROS and/or at ESA’s SciHub. \nThis workshop will be hosted in person in BH511 and takes about 2.5 hours. Registration is open until noon on the day of the workshop. The instructor will be Tim Elrick.
URL:https://gic.geog.mcgill.ca/event/2022-10-26/
CATEGORIES:2022,Fall,GIC workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220615T100000
DTEND;TZID=America/New_York:20220622T130000
DTSTAMP:20260414T223527
CREATED:20220613T004757Z
LAST-MODIFIED:20220613T004757Z
UID:17995-1655287200-1655902800@gic.geog.mcgill.ca
SUMMARY:Introduction to Geospatial Analysis in R
DESCRIPTION:This workshop will introduce you to functions and methods of geospatial analysis. In this two session workshop you will first learn about descriptive statistics on geospatial data sets. We will then continue exploring point pattern analysis\, cluster analysis and some interpolation methods (Thiessen polygons\, inverse distance weighting and kriging) as well as looking into geographically weighted regression. \nAt the end of this workshop you will be able to \n\nconduct descriptive statistics on sf\, sp\, raster and ppp objects\nanalyze point patterns\nunderstand spatial weights and apply them in a cluster analysis\napply different interpolation methods\n\nPre-requisites: “Introduction to Data Science with R”\, McGill’s R Summer Camp or equivalent. \nThis workshop will be hosted in person in BH511 and takes about 2.5 to 3 hours. Registration is open until the day before the workshop starts. The instructor will be Tim Elrick.
URL:https://gic.geog.mcgill.ca/event/2022-06-1522/
CATEGORIES:2022,GIC workshop,Summer
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220414T173000
DTEND;TZID=America/New_York:20220414T200000
DTSTAMP:20260414T223527
CREATED:20220318T130324Z
LAST-MODIFIED:20220318T131726Z
UID:17851-1649957400-1649966400@gic.geog.mcgill.ca
SUMMARY:Using Planet Lab data in Google Earth Engine (GEE)
DESCRIPTION:If you are interested in conducting analysis with Planet Labs data within Google Earth Engine (GEE) environment\, then this workshop if for you.  GEE supports delivery integration from Planet’s Orders API. This implies that there is no need to download and re-upload images when you are moving imagery to your GEE account since a direct connection can be created from Planet’s APIs to GEE. \nBy the end of this workshop\, you will be able to… \n\nSet up Google Cloud Project (GCP) and Google Earth Engine (GEE) environment\nCreate a direct connection from planet’s API to GEE to send imagery to your GEE account\nLoad and visualize PlanetScope (Dove) satellite imagery (true color and false color composites)\nCalculate spectral indices and classify land cover types based on spectral characteristics using PlanetScope (Dove) Imagery\n\nPrerequisites: \n\nCreate (or verify) an email account associated with Google. e.g. janedoe@gmail.com.\nIf you have not signed up for GEE account yet use the following link to sign-up: https://signup.earthengine.google.com/\nUse the link below to upgrade your GEE account: https://docs.google.com/forms/d/e/1FAIpQLSdUR5j6lfcsTh3k5H1RJYKQKLRgSheAzKLkYfDdnx9YQ6wUtw/viewform?usp=sf_link\nRequest access to our Planet Inc. subscription from tim.elrick@mcgill.ca if you do not have access already.\n\nThis workshop will be held in-person at the GIC\, BH511 (unless the public health situation suggests online) and will take about 3 hours. Registration is open until noon on the day of the workshop. In case the public health situation changes\, you will receive a Zoom link for the workshop as well as login information to connect to a virtual machine. \nThe instructor will be Patrick Osei Darko.
URL:https://gic.geog.mcgill.ca/event/2022-04-14/
CATEGORIES:2022,GIC workshop,Winter
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220317T173000
DTEND;TZID=America/New_York:20220317T200000
DTSTAMP:20260414T223527
CREATED:20220303T200244Z
LAST-MODIFIED:20220317T155559Z
UID:17840-1647538200-1647547200@gic.geog.mcgill.ca
SUMMARY:Introduction to working with PostGIS II
DESCRIPTION:This workshop builds on the first PostGIS workshop the week before. We will explore more geospatial functionality like intersecting data sets\, spatial joining or creating buffers. We will look into how to run queries faster. \nAt the end of this workshop you will be able to \n\nunderstand more about the conceptual basics of using PostGreSQL with PostGIS\nuse basic geospatial functions (intersection\, union\, buffers\, joins)\nimport/export data to and from the database\n\nPre-requisites: Participation in “Introduction to working with PostGIS I” or similar knowledge. Further\, if you want to use your own laptop\, please have PostGreSQL 14 or higher and QGIS 3.16 or higher pre-installed on your system. \nThis workshop will be held in person in Burnside Hall BH511 and takes about 2.5 hours. The instructor will be Tim Elrick.
URL:https://gic.geog.mcgill.ca/event/2022-03-17/
CATEGORIES:2022,GIC workshop,Winter
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220216T173000
DTEND;TZID=America/New_York:20220216T203000
DTSTAMP:20260414T223527
CREATED:20220131T225645Z
LAST-MODIFIED:20220131T225645Z
UID:17795-1645032600-1645043400@gic.geog.mcgill.ca
SUMMARY:Working with ArcGIS Online and ESRI Story Maps
DESCRIPTION:ArcGIS Online is a cloud-based geographic mapping program which allows you to share your creations with anyone\, anywhere. This workshop will cover the basics of the ArcGIS Online interface\, take you through an example project and ESRI StoryMap covering the Island of Montreal\, and allow you to create a StoryMap of your own on a topic of your choosing. \nBy the end of this workshop\, you will be able to: \n\nWork comfortably with ArcGIS Online\nCreate a map in ArcGIS Online\nDisplay data in a functional and visually appealing way\nFind and retrieve data and layer files from the Living Atlas\nCreate your own StoryMap through ArcGIS Online\nPublish your own StoryMap through ArcGIS Online\n\nPrerequisite: None! \nRequirements: ArcGIS Online account (please contact us at gicsupport@mcgill.ca at least one day in advance of the workshop). \nThis workshop will be around 2-3 hours in Burnside Hall 511\, COVID restrictions allowing\, deviating from our usual pattern on a Wednesday! The instructor will be Meghan Ewing.
URL:https://gic.geog.mcgill.ca/event/2022-02-16/
CATEGORIES:2022,GIC workshop,Winter
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220207T110000
DTEND;TZID=America/New_York:20220207T140000
DTSTAMP:20260414T223527
CREATED:20210226T234931Z
LAST-MODIFIED:20220125T220605Z
UID:17254-1644231600-1644242400@gic.geog.mcgill.ca
SUMMARY:Introduction to using ArcPy
DESCRIPTION:Do you want to become a GIS analyst? Are you tired of clicking or dragging files into the ArcGIS tool windows over and over?\nIs your GIS analysis taking too long? Are you pulling your hair with ModelBuilder?\nIf you replied yes to any of these questions\, the “Introduction to using Arcpy” workshop is for you. Arcpy allows you to implement your GIS workflow through the Python programming language. It enables you to automate\, scale up\, and speed up your analysis. \nBy the end of this workshop\, you will be able to: \n\nArgue why conducting your GIS analysis in Python is the way to go 😊.\nSet up your GIS analysis in a Python programming environment.\nImplement ArcGIS tools in Python.\nUse environment settings to guarantee a robust analysis.\nBuild your own functions to implement a custom analysis workflow.\nMake your analysis (more) reproduceable.\n\nPrerequisite: familiarity with ArcGIS \nRequirement: before you come to the workshop\, please have either ArcMap installed on your Windows computer (you can get your complimentary license as a McGill student\, faculty or staff member by contacting us at gicsupport@mcgill.ca) or make yourself accustomed with logging into one of our public computers in the GIC (see on our homepage how to do so). \nThis workshop will be hosted online on Zoom and takes about 2.5-3 hours.  Registration closes the day before the workshop. Note\, this workshop will take place from 11:00 PM to 2:00 PM. You will subsequently receive the Zoom link before the workshop starts. The instructor will be Mathis Messager.
URL:https://gic.geog.mcgill.ca/event/2022-02-07/
CATEGORIES:2022,GIC workshop,Winter
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220127T173000
DTEND;TZID=America/New_York:20220127T200000
DTSTAMP:20260414T223527
CREATED:20220122T181525Z
LAST-MODIFIED:20220126T144334Z
UID:17746-1643304600-1643313600@gic.geog.mcgill.ca
SUMMARY:QGIS project workshop
DESCRIPTION:Do you want to hone your QGIS skills and work in one of the best Open Source Geographic Information Systems? This workshop is meant for all of you\, who want to practice geospatial methods\, cartographic designing and get better at working on a full project from start to end\, i.e. from where I find my data\, to preprocessing\, and finally displaying it in an appealing\, nice looking map. \nIn this workshop\, you will learn how to create a spatial index of vulnerability to heat using geospatial vector and raster data\, as well as data from the 2016 Canadian Census. By the end of this workshop\, you will be able to: \n\nUnderstand the basics of geospatial data\nLearn the basics of QGIS and common types of data used\nWork with shapefiles and CSVs\nJoin non-spatial data with spatial data\nManipulate geographic shapefiles\nCalculate summary statistics\nNormalize data\nCreate an index\nDesign and publish a map\n\nPrerequisite: Some background knowledge (e.g.\, GEOG 201) in GIS would be helpful. You need to have QGIS ver. 3.18 and above installed on your computer. You can download it free of charge for Mac\, Windows\, and Linux at https://www.qgis.org. \nThis workshop will take approximately 2.5 hours on Zoom. Registration will be open until 12 pm the same day of the workshop. The instructor\, Reiko Kobayashi\, will send you the Zoom link and further instructions shortly before the workshop starts. \nSource material: Prof. Anna Kramer\, URBP 505
URL:https://gic.geog.mcgill.ca/event/2022-01-27/
CATEGORIES:2022,GIC workshop,Winter
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211208T173000
DTEND;TZID=America/New_York:20211208T200000
DTSTAMP:20260414T223527
CREATED:20201119T185446Z
LAST-MODIFIED:20211122T160806Z
UID:16975-1638984600-1638993600@gic.geog.mcgill.ca
SUMMARY:Introduction to PostGreSQL
DESCRIPTION:Three common options for storage are text files\, spreadsheets\, and databases. Text files are easiest to create\, and work well with version control\, but then we would have to build search and analysis tools ourselves. Spreadsheets are good for doing simple analyses\, but they don’t handle large or complex data sets well. Databases\, however\, include powerful tools for search and analysis\, and can handle large\, complex data sets. This workshop will show how to use a PostGreSQL database to explore a (fictitious) expeditions’ data. \nAt the end of the workshop\, you will be able to: \n\nGet data from a PostGreSQL database\nSort a query’s results\nRemove duplicate values from a query’s results\nSelect subsets of data\nCalculate new values on the fly\nHandle missing information\nCalculate sums\, averages\, and other summary values\nCombine data from multiple tables\nFormat data in a database\n\nPrerequisites: Having PostgreSQL 12 installed on your computer. The instructor will send you information on how to do this. \nThis workshop will be hosted online on Zoom and takes about 2.5 hours. Please use your McGill email address to register for the event. The instructor\, Hongyu Zhang will contact you at least one day in advance.
URL:https://gic.geog.mcgill.ca/event/2021-12-08/
CATEGORIES:2021,Fall,GIC workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211027T173000
DTEND;TZID=America/New_York:20211027T203000
DTSTAMP:20260414T223527
CREATED:20210326T201625Z
LAST-MODIFIED:20211021T135436Z
UID:17309-1635355800-1635366600@gic.geog.mcgill.ca
SUMMARY:Working with geospatial raster data in R
DESCRIPTION:The R coding environment is pretty well suited to process raster data set for quite a long time. Join our workshop to see how to import\, process and display geospatial raster data. \nAt the end of this workshop you will be able to \n\nimport geospatial raster data from different sources and file formats\nprepare raster data for analysis\napply local\, focal\, zonal\, global operations\ncreate nice-looking maps\n\nPre-requisites: “Introduction to Data Science with R”\, McGill’s R Summer Camp or equivalent. \nThis workshop will be held in person in Burnside Hall BH511 and takes about 2.5 to 3 hours. The instructor will be Tim Elrick.
URL:https://gic.geog.mcgill.ca/event/2021-10-27/
CATEGORIES:2021,Fall,GIC workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210630T100000
DTEND;TZID=America/New_York:20210630T123000
DTSTAMP:20260414T223527
CREATED:20200930T201307Z
LAST-MODIFIED:20210604T155121Z
UID:16811-1625047200-1625056200@gic.geog.mcgill.ca
SUMMARY:Introduction to Git
DESCRIPTION:If you ever wanted to keep track of your changes in your coding of R and Python\, a csv table or any other plain text documents\, Git and GitHub are your friends. Join in on this version control workshop that allows you to get more control over your reproduciblity of your work. \nAt the end of this workshop\, you will be able to \n\nunderstand how to set up a Git account\ncreate repositories and track changes\nknow how to use GitHub and collaborate\nhave an introductory understanding of conflict resolution\n\nPre-requisites: none \nThis workshop will be hosted online on Zoom and takes about 2.5 hours. We will send you the Zoom link and instructions to prepare your computer one day in advance (please note\, that the registration therefore closes 24 hours before). The instructor will be Hongyu Zhang.
URL:https://gic.geog.mcgill.ca/event/2021-06-30/
CATEGORIES:2021,GIC workshop,Summer
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210602T100000
DTEND;TZID=America/New_York:20210602T100000
DTSTAMP:20260414T223527
CREATED:20201110T001900Z
LAST-MODIFIED:20210519T175448Z
UID:16961-1622628000-1622628000@gic.geog.mcgill.ca
SUMMARY:Advanced Data Visualization with R
DESCRIPTION:Do you already have experience with the ggplot2 package in R\, but still cannot get the plot you would like to create? Come and join this workshop to hone your data visualization skills. \nAt the end of this workshop\, you will be able to \n\nreorder data in your graph\, tweak labels and work with colours\ncombine graphs with the patchwork package\ndisplay model output in graphs\nanimate your graphs\n\nPre-requisites? “Introduction to Data Visualization with R”\, McGill’s R Summer Camp or equivalent. \nThis workshop will be hosted online on Zoom and takes about 3 hours. Registration is open until 1 hour before the workshops starts. You will receive the Zoom link for the workshop about an hour before the workshop starts. The instructor will be Tim Elrick.
URL:https://gic.geog.mcgill.ca/event/2021-06-02/
CATEGORIES:2021,GIC workshop,Summer
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210519T100000
DTEND;TZID=America/New_York:20210519T130000
DTSTAMP:20260414T223527
CREATED:20201019T142311Z
LAST-MODIFIED:20210504T181945Z
UID:16906-1621418400-1621429200@gic.geog.mcgill.ca
SUMMARY:Introduction to Data Visualization with R
DESCRIPTION:You always wanted to create nice looking graphs from you tables and statistical analyses? This is your workshop. You will learn how the grammar of graphics (Leland Wilkinson 1999) is implemented into the ggplot2 package in R and how to use it to flexibly create amazing looking graphs. \nAt the end of this workshop\, you will be able to \n\nunderstand the grammar of graphics in the ggplot2 package\ncreate different types of graphs\nchange the aesthetics of graphs (e.g. colour\, formatting of labels and axes\, themes)\nuse techniques to deal with overplotting (e.g. groups and facets)\n\nPre-requisites? Introductory understanding or R\, e.g. from “Introduction to Data Science with R” or equivalent. \nThis workshop will be hosted online on Zoom and takes about 3 hours. Registration is open until 1 hour before the workshops starts. You will receive the Zoom link for the workshop about an hour before the workshop starts. The instructor will be Tim Elrick.
URL:https://gic.geog.mcgill.ca/event/2021-05-19/
CATEGORIES:2021,GIC workshop,Summer
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210505T100000
DTEND;TZID=America/New_York:20210505T123000
DTSTAMP:20260414T223527
CREATED:20210413T145605Z
LAST-MODIFIED:20210504T142240Z
UID:17337-1620208800-1620217800@gic.geog.mcgill.ca
SUMMARY:Data Visualization in Python
DESCRIPTION:Building on what we’ve learned from the Python for Data Analysis workshop\, this workshop will introduce you to some useful data visualization libraries in Python. \nAt the end of the workshop\, you will be able to \n\nunderstand the general idea of plotting in Python\nproduce static images as well as interactive plots\nvisualize univariate and bivariate data\nunderstand the difference between matplotlib\, seaborn\, pandas\, bokeh\, and plotly\n\nPrerequisites: Introduction to Python (Fall 2020) or Python for Data Analysis (Winter 2021) or prior experience with Python. You also need to have access to Python\, either by installing Anaconda for Python 3 on your own computer or by using Jupyter Hub with Python 3 at the GIC. For the latter we will need to create an account for you first. The instructor will contact you at least one day in advance. \nThis workshop will be hosted online on Zoom and takes about 2.5 hours. Please use your McGill email address to register for the event. You can register until noon the day prior to the workshop. The instructor will be Hongyu Zhang.
URL:https://gic.geog.mcgill.ca/event/2021-05-05/
CATEGORIES:2021,GIC workshop,Summer
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210420T173000
DTEND;TZID=America/New_York:20210420T200000
DTSTAMP:20260414T223527
CREATED:20210326T154343Z
LAST-MODIFIED:20210326T154343Z
UID:17302-1618939800-1618948800@gic.geog.mcgill.ca
SUMMARY:Python for Data Analysis
DESCRIPTION:This workshop will introduce you to some useful data analysis libraries in Python. Prior Python experience would be beneficial\, but it is not mandatory. \nAt the end of the workshop\, you will be able to \n\nunderstand why Python is beneficial in data analysis\nhow to use modules numpy\, pandas\, matplotlib\nunderstand how to debug your script in Python\n\nPrerequisites: You need to have access to Python\, either by installing Anaconda for Python 3 on your own computer or by using Jupyter Hub with Python 3 at the GIC. For the latter we will need to create an account for you first. The instructor will contact you at least one day in advance. \nThis workshop will be hosted online on Zoom and takes about 2.5 hours. Please use your McGill email address to register for the event. The instructor will be Hongyu Zhang.
URL:https://gic.geog.mcgill.ca/event/2021-04-20/
CATEGORIES:2021,GIC workshop,Winter
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210406T173000
DTEND;TZID=America/New_York:20210406T203000
DTSTAMP:20260414T223527
CREATED:20210326T160149Z
LAST-MODIFIED:20210326T201720Z
UID:17306-1617730200-1617741000@gic.geog.mcgill.ca
SUMMARY:Working with geospatial vector data in R
DESCRIPTION:Using geospatial vector data in R used to be quite challenging. Not anymore. Join our workshop to see how to import\, process and display geospatial data. You might not even need a conventional GIS software any more… \nAt the end of this workshop you will be able to \n\nimport geospatial vector data from different sources and file formats\nmerging and intersecting geospatial objects\ncreate buffers and spatial joins\ncalculate nearest neighbours\ncreate nice-looking maps\n\nPre-requisites: “Introduction to Data Science with R”\, McGill’s R Summer Camp or some other basic understanding of R code (preferably including piping). \nThis workshop will be hosted online on Zoom and takes about 2.5 to 3 hours. Registration is open until 1 hour before the workshops starts. You will receive the Zoom link for the workshop in time before the workshop starts. The instructor will be Tim Elrick.
URL:https://gic.geog.mcgill.ca/event/2021-04-06/
CATEGORIES:2021,GIC workshop,Winter
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210302T173000
DTEND;TZID=America/New_York:20210302T203000
DTSTAMP:20260414T223527
CREATED:20210226T232141Z
LAST-MODIFIED:20210226T232141Z
UID:17247-1614706200-1614717000@gic.geog.mcgill.ca
SUMMARY:Retrieving Data from the Internet with R
DESCRIPTION:The internet is full of data that you can use for your analysis. If you want to learn how to efficiently retrieve data\, this is your workshop. We will discuss downloading files\, using APIs\, webscraping\, downloading feeds and census data from Canada\, the US and Europe. \nAt the end of this workshop\, you will be able to \n\nuse an API\nunderstand webscraping\nretrieve census data from Canada\, the US and Europe\nunderstand how to work with RSS feeds\n\nPre-requisites: ‘Introduction to data science with R’\, ‘R summer camp’\, or equivalent \nThis workshop will be hosted online on Zoom and takes about 3 hours.  Registration closes at 5 pm. You will receive the Zoom link shortly before the workshop starts. The instructor will be Tim Elrick.
URL:https://gic.geog.mcgill.ca/event/2021-03-02/
CATEGORIES:2021,GIC workshop,Winter
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210126T173000
DTEND;TZID=America/New_York:20210126T203000
DTSTAMP:20260414T223527
CREATED:20201216T181645Z
LAST-MODIFIED:20210126T134120Z
UID:17035-1611682200-1611693000@gic.geog.mcgill.ca
SUMMARY:Advanced Data Science with R
DESCRIPTION:If you want to up your game in data science with R\, this is the workshop for you. We will build on your knowledge of the “Introduction to Data Science with R” or the “R summer camp” workshop to cover more functions of the tidyverse package\, go into how to join different data sets\, hwo you manipulate multiple variables at once\, changing full rows\, using functionals and nested data. \nAt the end of this workshop\, you will be able to \n\njoin datasets vertically and horizontally\napply rowwise data manipulation in data sets\napply data manipulations across multiple variables at once\nknow how to use functionals\n\nPre-requisites: ‘Introduction to data science with R’\, ‘R summer camp’\, or equivalent \nThis workshop will be hosted online on Zoom and takes about 3 hours.  Registration closes at 5 pm. You will receive the Zoom link shortly before the workshop starts. The instructor will be Tim Elrick.
URL:https://gic.geog.mcgill.ca/event/2021-01-26/
CATEGORIES:2021,GIC workshop,Winter
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210112T173000
DTEND;TZID=America/New_York:20210112T203000
DTSTAMP:20260414T223527
CREATED:20201216T173542Z
LAST-MODIFIED:20201216T173542Z
UID:17031-1610472600-1610483400@gic.geog.mcgill.ca
SUMMARY:Introduction to Data Science with R
DESCRIPTION:Do you want to get into the state-of-the-art way of doing data science in academia? Register for this workshop where you will learn the first steps of importing\, manipulating and cleaning data sets in R using the tidyverse package. \nAt the end of this workshop\, you will be able to \n\nimport data sets of different file formats\napply the most common dplyr and tidyr functions for data wrangling\nunderstand the principles of piping\napply different methods to treat missing values\n\nPre-requisites? None\, however\, please have R and RStudio installed in the latest version. \nThis workshop will be hosted online on Zoom and takes about 3 hours. Registration is open until 30 minutes before the workshops starts. You will receive the Zoom link for the workshop about half an hour before the workshop starts. The instructor will be Tim Elrick.
URL:https://gic.geog.mcgill.ca/event/2021-01-12/
CATEGORIES:2021,GIC workshop,Winter
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201111T173000
DTEND;TZID=America/New_York:20201111T200000
DTSTAMP:20260414T223527
CREATED:20201105T141723Z
LAST-MODIFIED:20201110T000103Z
UID:16941-1605115800-1605124800@gic.geog.mcgill.ca
SUMMARY:Introduction to Python
DESCRIPTION:New to programming? Join us for the full length of the workshop to get an extensive introduction to Python syntax\, control flow\, and native data structures. Want to upgrade your GIS skills? Hop on the call at 7:00 pm for a presentation of spatial analysis using Python and ArcGIS. \nAt the end of the workshop\, you will learn about: \n\nWhat Python is and why we should use it\nWhat variables\, data types\, and common data structures are available\nHow to automate your scripts using control flow\nHow to import modules and packages\nHow to reuse your scripts by implementing functions and variable scope\nHow to get started with Python in ArcGIS\n\nPrerequisites: You need to have access to Python\, either by installing Anaconda for Python 3 on your own computer or by using Jupyter Hub with Python 3 at the GIC. For the latter we will need to create an account for you first. The instructor will contact you at least one day in advance. If you want to follow the GIS part of the workshop at the end\, you also need ArcGIS Desktop 10.7.x (Windows only) (you can get your free license of ArcGIS by e-mailing gicsupport@mcgill.ca). \nThis workshop will be hosted online on Zoom and takes about 2.5 hours. Please use your McGill email address to register for the event. The instructor will be Hongyu Zhang.
URL:https://gic.geog.mcgill.ca/event/2020-11-11/
CATEGORIES:2020,Fall,GIC workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201007T173000
DTEND;TZID=America/New_York:20201007T203000
DTSTAMP:20260414T223527
CREATED:20200930T201829Z
LAST-MODIFIED:20201001T142237Z
UID:16800-1602091800-1602102600@gic.geog.mcgill.ca
SUMMARY:Advanced Data Science with R
DESCRIPTION:If you want to up your game in data science with R\, this is the workshop for you. We will build on your knowledge of the “Introduction to Data Science with R” or the “R summer camp” workshop to cover more functions of the tidyverse package\, go into how to join different data sets\, hwo you manipulate multiple variables at once\, changing full rows\, using functionals and nested data. \nAt the end of this workshop\, you will be able to \n\njoin datasets vertically and horizontally\napply rowwise data manipulation in data sets\napply data manipulations across multiple variables at once\nknow how to use functionals\n\nPre-requisites: ‘Introduction to data science with R’\, ‘R summer camp’\, or equivalent \nThis workshop will be hosted online on Zoom and takes about 3 hours.  You will receive the Zoom link shortly before the workshop starts. The instructor will be Tim Elrick.
URL:https://gic.geog.mcgill.ca/event/2020-10-07/
CATEGORIES:2020,Fall,GIC workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200930T173000
DTEND;TZID=America/New_York:20200930T203000
DTSTAMP:20260414T223527
CREATED:20200928T130036Z
LAST-MODIFIED:20200930T202337Z
UID:16785-1601487000-1601497800@gic.geog.mcgill.ca
SUMMARY:Introduction to Data Science with R
DESCRIPTION:Do you want to get into the state-of-the-art way of doing data science in academia? Register for this workshop where you will learn the first steps of importing\, manipulating and cleaning data sets in R using the tidyverse package. \nAt the end of this workshop\, you will be able to \n\nimport data sets of different file formats\napply the most common dplyr and tidyr functions for data wrangling\nunderstand the principles of piping\napply different methods to treat missing values\n\nPre-requisites? none \nThis workshop will be hosted online on Zoom and takes about 3 hours. Registration is open until 30 minutes before the workshops starts. You will receive the Zoom link for the workshop about half an hour before the workshop starts. The instructor will be Tim Elrick.
URL:https://gic.geog.mcgill.ca/event/2020-09-30/
CATEGORIES:2020,Fall,GIC workshop
END:VEVENT
END:VCALENDAR