Discover and read the best of Twitter Threads about #spatialanalysis
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Machine Learning (ML) algorithms have revolutionized spatial analysis, providing new insights into geographic data. Here's a list of popular ML algorithms used in #geospatial #DataScience
#DataScience #MachineLearning #SpatialAnalysis #gischat
#DataScience #MachineLearning #SpatialAnalysis #gischat
K-means clustering is a popular unsupervised ML algorithm used for clustering and segmentation of spatial data. It's used to identify spatial patterns, group similar geographic features, and create thematic maps.
Random Forests is a supervised ML algorithm used for classification and regression tasks in Geospatial Data Science. It's used to predict land use, soil properties, and other geographic variables.
The language of quant crit is in its infancy but the practice has a long legacy dating back to Du Bois and Wells-Barnett.
Let's use #QuantCritSyllabus to feature studies that use critical quantitative methodologies and frameworks. I'll start.
#AcademicTwitter #SocAF #QuantCrit
Let's use #QuantCritSyllabus to feature studies that use critical quantitative methodologies and frameworks. I'll start.
#AcademicTwitter #SocAF #QuantCrit
The Racism-Race Reification Process: A Mesolevel Political Economic Framework for Understanding Racial Health Disparities by @aasewell
#QuantCritSyllabus #HealthDisparities #MortgageMarkets
#MergedDatabases #Multilevel #GeneralizedLinearModels
journals.sagepub.com/doi/abs/10.117…
#QuantCritSyllabus #HealthDisparities #MortgageMarkets
#MergedDatabases #Multilevel #GeneralizedLinearModels
journals.sagepub.com/doi/abs/10.117…
Collateral Damage: The Health Effects of Invasive Police Encounters in New York City by @aasewell & Kevin Jefferson
#QuantCritSyllabus #Health #Policing
#NYC #CommunityHealthSurvey #StopQuestionandFrisk #MultilevelModels
link.springer.com/article/10.100…
#QuantCritSyllabus #Health #Policing
#NYC #CommunityHealthSurvey #StopQuestionandFrisk #MultilevelModels
link.springer.com/article/10.100…
New paper: Tooling-up for infectious disease transmission modelling. The Intro to the #Epidemics special issue on Computational Methods for Modelling an Infectious Disease (COMMAND) doi-org.ez.lshtm.ac.uk/10.1016/j.epid… @GrahamMedley @EleanorMRees @N_R_Waterlow @cmmid_lshtm In the series:
1. Choices and trade-offs in inference with infectious disease models by @sbfnk and A King doi.org/10.1016/j.epid… #IDmodelling #modelchoice
2. Desirable BUGS in models of infectious diseases by @kathmoreilly @drrachellowe and others doi.org/10.1016/j.epid… #JAGS #graphs
