Publications by Julian Flowers
Dynamic world maps in python
geemap import ee import geemap import ipyleaflet Map = geemap.Map() Map.add_basemap('OpenTopoMap') Map region = Map.user_roi if region is None: region = ee.Geometry.BBox(-2, 53, 1, 55) Map.centerObject(region) start_date = '2019-01-01' end_date = '2022-01-01' Composite image = geemap.dynamic_world_s2(region, start_date, end_date) vis_p...
62 sym
geemap
This is an R Markdown Notebook. When you execute code within the notebook, the results appear beneath the code. Try executing this chunk by clicking the Run button within the chunk or by placing your cursor inside it and pressing Ctrl+Shift+Enter. library(rgee) Registered S3 methods overwritten by 'htmltools': method from ...
3238 sym R (30632 sym/31 pcs)
Public covid data
Official COVID-19 info and guidance from PHE Links group link coronavirus-covid-19-information-for-the-public guidance Link publicationscovid-19-track-coronavirus-cases publication Link publications-to-employers-and-businesses-about-covid-19 publication Link publicationscovid-19-stay-at-home-guidance publication Link collectionscoronavirus-...
838 sym 5 img 2 tbl
covid public data
covid-19 info 17 March 2020 Official COVID-19 info and guidance from PHE Links group link coronavirus-covid-19-information-for-the-public guidance Link publicationscovid-19-track-coronavirus-cases publication Link collectionscoronavirus-covid-19-list-of-guidance collections Link publicationscovid-19-stay-at-home-guidance publicatio...
1211 sym R (1800 sym/2 pcs) 8 img 2 tbl
nlp
Topic modelling Pubmed abstracts using NLP tools Julian Flowers 2020-02-06 This vignette shows how to extract abstracts from Pubmed and perform simple topic modelling on them. It uses functions in the myScrapers package which can be downloaded as below. if(!require(myScrapers))devtools::install_github("julianflowers/myScrapers") library(myScrapers...
5073 sym R (1196730 sym/15 pcs) 13 img
personal tweets 2
Distinguishing personal from organisational tweets: proposed algorithm This note sets out an algorithm for distinguishing tweets from individuals from organisational or corporate tweets. It uses natural language processing to parse and annotate the tweets and named entity recognition (NER) to label tweets with person or organisation tags. The algo...
2024 sym R (3855 sym/12 pcs) 2 tbl
Distinguishing personal from organisational tweets
Background Often useful to distinguish between personal and organisational tweets in document/ discourse analysis of twitter. This note sets out some ideas for doing this. We use 3000 tweets from @PublicHealthBot - this is a retweet engine so we are interesting in the characteristics of retweeters rather than primary tweeters Some R packages - ...
2388 sym R (22414 sym/7 pcs) 4 tbl
tweets
Background Often useful to distinguish between personal and organisational tweets in document/ discourse analysis of twitter. This note sets out some ideas for doing this. We use 3000 + tweets from @PublicHealthBot - this is a retweet engine so we are interested in the characteristics of retweeters rather than primary tweeters Some R packages - ...
2950 sym R (5519 sym/21 pcs) 4 tbl