#' @examples #' library(sf) #' library(dplyr) #' # Uncomment for interactive examples: #' # library(mapview) #' plot(route_network_small["flow"]) #' plot(osm_net_example$geometry, lwd = 5, col = "grey") #' plot(route_network_small["flow"], add = TRUE) #' rnetj = rnet_join(osm_net_example, route_network_small, dist = 9) #' mapview(rnetj, zcol = "flow") + #' mapview(route_network_small, zcol = "flow") #' plot(rnetj["flow"]) #' plot(route_network_small["flow"], add = TRUE) #' rnetj_summary = rnetj %>% #' sf::st_drop_geometry() %>% #' group_by(osm_id) %>% #' summarise( #' flow = weighted.mean(flow, length_y, na.rm = TRUE), #' ) #' osm_joined_rnet = left_join(osm_net_example, rnetj_summary) #' plot(osm_joined_rnet[c("flow", "highway")]) #' mapview(joined_network) + #' mapview(route_network_small)

Marked-up version of https://itsleeds.github.io/pct/articles/getting.html

Slides for SSPA module at ITS Leeds

From the 2011 Census via the PCT

https://github.com/rstudio/rmarkdown/issues/2053

See here for code: https://github.com/ropensci/stplanr/issues/442

For sspa module

See https://github.com/katyrobin/tithe-map-tiles

From 1910 - 1915 land use survey

See here: https://github.com/geocompr/geocompkg/blob/master/courses/2-day-course.Rmd

For biodar project

For sspa module

Code: u = "https://github.com/npct/pct-outputs-regional-notR/raw/master/commute/msoa/west-yorkshire/l.geojson" # u = "/mnt/27bfad9a-3474-4e61-9a43-0156ebc67d67/home/robin/npct/pct-outputs-regional-R/commute/msoa/greater-manchester/l.Rds" # desire_lines = readRDS(u) # desire_lines = sf::st_as_sf(desire_lines) library(dplyr) library(sf) desire_lines_all = read_sf(u) plot(desire_lines_all$geometry) plot(cw, add = T, col = "green") desire_lines_1000 = desire_lines %>% top_n(1000, all) car_dependent_routes = desire_lines_1000 %>% mutate(percent_drive = car_driver / all * 100) %>% filter(rf_dist_km < 3 & rf_dist_km > 1)

library(sf) library(tidyverse) desire_lines = read_sf("https://github.com/npct/pct-outputs-regional-notR/raw/master/commute/msoa/west-yorkshire/l.geojson") plot(desire_lines) car_dependent = desire_lines %>% filter(car_driver / all > 0.5 & rf_dist_km < 3) mapview::mapview(car_dependent)

Input data: https://gisdata.mn.gov/dataset/us-mn-state-metc-society-tbi-transit-onboard2016

Presentation to the APPWG

On PCT and CyIPT

See https://gist.github.com/Robinlovelace/ac4d1050c0446f6a3a4f8c55cfc79286 for reproducible code

How to make a map of global coffee production in less than 20 lines of code? See here for details: http://geocompr.robinlovelace.net/attr.html#vector-attribute-joining

How to make a map of global coffee production in less than 20 lines of code? See here for details: http://geocompr.robinlovelace.net/attr.html#vector-attribute-joining

Talk for Sheffield's White Rose DTC taster event

Talk delivered at ITS Leeds

Generated with OTP thanks to code and tuition from Marcus Young

For the ITS Computer Skills course

For the TravelHackII

Talk at UseR Northeast

Generated by Malcolm Morgan and the CyIPT team at the University of Leeds

Presented here: http://www.geog.leeds.ac.uk/ectqg17/home.html

Slides presented at the RSAI conference, Harrogate, 2017-08-24: http://www.rsai-bis.org/

Slides presented at the Dagstuhl summer school

Developed as for the 'team 1' challenge at the Dagstuhl summer school: https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=17282

Slides for Pecha Kucha session at the International Conference for Transport and Health

Slides for a panel session at the Scientists for Cycling Colloquium, Nijmegen, 2017.

To feed into the Cycling Infrastructure Prioritisation Toolkit (CyIPT) project

Based on code for the in-development geocompr book project: https://github.com/Robinlovelace/geocompr/blob/master/work-in-progress/10-point-pattern.Rmd

As part of a course I teach in this wonderful Polish city. To reproduce this - see the source code here: https://github.com/Robinlovelace/cs7/blob/master/basic-script.R#L175-L186

In Bristol - thanks to CycleStreets.net and omsdata

From the Creating-maps-in-R tutorial

Aim: fill the holes that are on the map but not in our data

This is the Go Dutch scenario of the Propensity to Cycle Tool

Talk for the Royal Statistical Society Bradford - see here for details: https://sites.google.com/site/rssleedsbradford/home/2016_2017_session/transport

With custom tileserver providing default basemap this time (not projected right, I know)

Another example of plotting land-use data with R/leaflet. Reproducible code and data lives here: https://github.com/Robinlovelace/Creating-maps-in-R/blob/master/R/visualise-tithe-map-hereford.R

Example illustrating how to create a webmap with R/leaflet

Prototyping for the Propensity to Cycle Tool (PCT)

Slides presented at the S4C colloquium in Aveiro, Portugal: https://scientistsforcyclingaveiro2016.wordpress.com/program/

UCL Seminar at CASA

Slides presented at eRum 2016

Slides explaining how R stores spatial data with the sp package

Slides to accompany my teaching materials at the first European R Users Meeting (eRum): http://erum.ue.poznan.pl/#schedule

Administrative zones in Holland with an average gradient over 1%

Presentation delivered at the 2016 Cycling and Society conference

Slides presented at the Universidad de Sevilla

Presented at the RGS-IBG annual conference

Data from https://data.gov.uk/dataset/combined-authorities-eng-jun-2016-boundaries-generalised-clipped and https://www.gov.uk/government/statistical-data-sets/local-enterprise-partnerships-leps-rural-urban-gis-shapefiles Code: https://github.com/Robinlovelace/Creating-maps-in-R/commit/5ef4c528c9b4108a4fe9e645d2b02791559041e3

Slides for presentation at Seamless Travel event: https://www.eventbrite.co.uk/e/seamless-integration-tickets-25803084721

Results from referendum, scraped from internet: https://github.com/Robinlovelace/Creating-maps-in-R/blob/master/R/brexit-map.R

Slides presented at the Radical Transport Conference, UCL, 20th June 2016

Slides for my talk at the Hackney Cycling Conference

Demo of tmap in interactive mode

Slides linking together content for 2 day course on R for spatial data

Slides presented at the Cycle City Active conference in Leicester

Slides presented at the University of Cardiff, 4th May 2016. More info - see http://www.cardiff.ac.uk/cplan/events/transport-seminar-series-tools-for-estimating-cycling-potential

Slides from our presentation at the Obesity Network: https://www.eventbrite.co.uk/e/obesity-network-seminar-data-methods-and-models-tickets-20890637459

Slides for the health hackathon 2016

These slides accompany the 1 day course, An Introduction to R for Spatial Data.

Slides for a course teaching R and RStudio.

Slides providing an up-to-date overview of the open source strategic planning tool

Output from the Propensity to Cycle project

Slides with links from the Cycling in Society conference, Manchester 2015

My trip back from GEOSTAT in Lancaster to my home in Leeds

My slides at the GEOSTAT summer school on the Propensity to Cycle Tool

Testing rtop and pycno packages for transfering data across different boundary shapes

Slides from the workshop in FOSS4G-E

Vignette to accompany the stplanr package, available on github: https://github.com/Robinlovelace/stplanr

This analysis demonstrates the high level of geographic variability in people's tendency to drive short distances across England and Wales. Across London boroughs, for example, less than 20% of very short commutes are made by car. In car-dominate commuter belts such as Bracknell, and rural areas potentially lacking quality public and active travel infrastructure, cars account for more than half of short journeys to work.

This analysis demonstrates the high level of geographic variability in people's tendency to drive short distances across England and Wales. Across London boroughs, for example, less than 20% of very short commutes are made by car. In car-dominate commuter belts such as Bracknell, and rural areas potentially lacking quality public and active travel infrastructure, cars account for more than half of short journeys to work.

Related to https://github.com/Robinlovelace/Creating-maps-in-R

Basic introduction to flow data in R

Part of the Creating-maps-in-R tutorial

Vignette from the Creating-maps-in-R tutorial

From the Creating-maps-in-R vignette

Preliminary results of research identifying some of the worst accident hotspots in Leeds for cycling.

Using the power if the g* selection options for clipping and aggregating in R

Slides for practical workshop in Girona

Slides to go with the popular tutorial, https://github.com/Robinlovelace/Creating-maps-in-R

Talk delivered at the University of Sydney's Institute of Transport and Logistics Studies (ITLS), 21st January 2015. This is in support of a workshop on learning shiny I delivered after the talk which is based on the free and open source learning-shiny tutorial I've developed: https://github.com/Robinlovelace/learning-shiny . Audio from the talk has been uploaded here: https://soundcloud.com/robin-lovelace-1/r-and-shiny-for-transport-applications

Presented at the University of Wollongong, 19th Jan, 2015.

Slides for NCRM Short Course in Cambrides, 18th - 19th September 2014

Reproducibility in Regional Science

Small vignette of the many "ways" cycle paths are classified in Open Street Map (OSM) datasets.

Spatial aggregation of points by clusters of high density.

This tutorial discusses Open Street Map in general terms and describes how to analyse raw data using free software. The GitHub repository of this project can be found here https://github.com/Robinlovelace/osm-tutorial

Miniature vignette to accompany Spatial Data Visualisation with R, an introductory book chapter on using R as a GIS - see preprint here: https://github.com/geocomPP/sdvwR

Slides for an introductory course on using R - https://github.com/Robinlovelace/Creating-maps-in-R

This is the updated version of tutorial on spatial data handling and visualisation in R, with a focus on ggplot2 graphics. The project repository can be found here: https://github.com/Robinlovelace/Creating-maps-in-R . This work took place as part of a Short Course funded by the Geo-spatial Data Analysis and Simulation (TALISMAN) node of the National Centre for Research Methods (NCRM), which took place in Leeds, January 24th 2014.

Supplementary material to the Introduction to visualising spatial data in R tutorial: https://github.com/Robinlovelace/Creating-maps-in-R/blob/master/intro-spatial-rl.pdf

Showcasing of the creation and analysis of a constrained spatial interaction model in R.

This was some fun I had trying to replicate Florence Nightingale's "Coxcomb plots" in ggplot and the more complex "spiecharts"

Estimates of the CO2 emissions of human respiration, with a focus on cycling.

An updated version of this tutorial on rpubs can be found here: http://rpubs.com/RobinLovelace/11869 The document maintained at https://github.com/Robinlovelace/Creating-maps-in-R. Suggested improvements welcome.

Joining and clipping spatial data using base R and ggplot 'esque' packages.

Intro to ggmaps, with some background maps

Testing of R for curve fitting

This is a basic introduction to the nls function, using a worked example modified from Rossiter's 2009 Curve fitting tuturial.

Testing of a SI model of visitor flows to museums in R

Preliminary analysis of twitter data

R implementation of Hay, A. M. (1977). Linear Programming: elementary geographical applications of the transportation problem. Geo Abstracts Limited.

Presentation for RSAI-BIS, Cambridge, 2013

This illustrates code used to compare the energy costs of commuting, calculated in my previous Rpubs uploads.

This script shows how to convert Dutch commuting data into energy costs, following-on from the English data (http://rpubs.com/RobinLovelace/7178 ). The raw data and code for this can be accessed here: https://dl.dropboxusercontent.com/u/15008199/egs2stay/energy-nat.zip

Script illustrating how raw commuting data from the Census can be converted into energy costs for regions in England. To reproduce these results in their entirety, please download and extract the 'energy-nat' folder onto your computer and set this as your working directory in R: https://dl.dropboxusercontent.com/u/15008199/egs2stay/energy-nat.zip

Practical introduction to the Iterative Proportional Fitting (IPF) algorithm in R.

Shows an early version of the IPF script. The aim is to make it as generalised as possible; this is a step in that direction.

IPF code

Examples of chloropleth map plotting based on "long" type destination-origin flow data for Sheffield, using GISTools and ggplot2 packages