#timeseriesanalysis — Public Fediverse posts

Drivers Of Forest Disturbance In Southeast Asia [incl. spatial analysis]
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https://doi.org/10.1016/j.jag.2026.105220 <-- shared paper 🔗
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https://github.com/shijuanchen/SEA_forest_dis <-- shared GitHub ‘data repository 🔗
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#GIS #spatial #mapping #spatialanalysis #spatiotemporal #forest #vegetation #Forestdisturbance #Forestdegradation #Deforestation #remotesensing #SoutheastAsia #Asia #tropicalforests #timeseriesanalysis #geostatistics #disturbance #clearing #planting #agriculture #earthobservation #imagery #CCDC #changedetection #landcover #landuse #change #plantation #cultivation #slashandburn #planning #mitigation #catalogue #conservation #management #landmanagement #machinelearning #imageanalysis #AI

Drivers Of Forest Disturbance In Southeast Asia [incl. spatial analysis]
--
https://doi.org/10.1016/j.jag.2026.105220 <-- shared paper 🔗
--
https://github.com/shijuanchen/SEA_forest_dis <-- shared GitHub ‘data repository 🔗
--
#GIS #spatial #mapping #spatialanalysis #spatiotemporal #forest #vegetation #Forestdisturbance #Forestdegradation #Deforestation #remotesensing #SoutheastAsia #Asia #tropicalforests #timeseriesanalysis #geostatistics #disturbance #clearing #planting #agriculture #earthobservation #imagery #CCDC #changedetection #landcover #landuse #change #plantation #cultivation #slashandburn #planning #mitigation #catalogue #conservation #management #landmanagement #machinelearning #imageanalysis #AI

Drivers Of Forest Disturbance In Southeast Asia [incl. spatial analysis]
--
https://doi.org/10.1016/j.jag.2026.105220 <-- shared paper 🔗
--
https://github.com/shijuanchen/SEA_forest_dis <-- shared GitHub ‘data repository 🔗
--
#GIS #spatial #mapping #spatialanalysis #spatiotemporal #forest #vegetation #Forestdisturbance #Forestdegradation #Deforestation #remotesensing #SoutheastAsia #Asia #tropicalforests #timeseriesanalysis #geostatistics #disturbance #clearing #planting #agriculture #earthobservation #imagery #CCDC #changedetection #landcover #landuse #change #plantation #cultivation #slashandburn #planning #mitigation #catalogue #conservation #management #landmanagement #machinelearning #imageanalysis #AI

Drivers Of Forest Disturbance In Southeast Asia [incl. spatial analysis]
--
https://doi.org/10.1016/j.jag.2026.105220 <-- shared paper 🔗
--
https://github.com/shijuanchen/SEA_forest_dis <-- shared GitHub ‘data repository 🔗
--
#GIS #spatial #mapping #spatialanalysis #spatiotemporal #forest #vegetation #Forestdisturbance #Forestdegradation #Deforestation #remotesensing #SoutheastAsia #Asia #tropicalforests #timeseriesanalysis #geostatistics #disturbance #clearing #planting #agriculture #earthobservation #imagery #CCDC #changedetection #landcover #landuse #change #plantation #cultivation #slashandburn #planning #mitigation #catalogue #conservation #management #landmanagement #machinelearning #imageanalysis #AI

Drivers Of Forest Disturbance In Southeast Asia [incl. spatial analysis]
--
https://doi.org/10.1016/j.jag.2026.105220 <-- shared paper 🔗
--
https://github.com/shijuanchen/SEA_forest_dis <-- shared GitHub ‘data repository 🔗
--
#GIS #spatial #mapping #spatialanalysis #spatiotemporal #forest #vegetation #Forestdisturbance #Forestdegradation #Deforestation #remotesensing #SoutheastAsia #Asia #tropicalforests #timeseriesanalysis #geostatistics #disturbance #clearing #planting #agriculture #earthobservation #imagery #CCDC #changedetection #landcover #landuse #change #plantation #cultivation #slashandburn #planning #mitigation #catalogue #conservation #management #landmanagement #machinelearning #imageanalysis #AI

Over the past few months, we have attended police-led training on CDR forensics analysis. In this article, we explore crime reconstruction through geospatial and time series analysis with R. If you're a data science professional, this is a fascinating real-world application of your data analysis skills!

https://negativepid.blog/learning-time-series-analysis-through-cdr/

#timeSeriesAnalysis #crimeAnalysis #CDR #ComputerForensics #CallRecords #DataScience #R

#DateFiltering #TimeSeriesAnalysis #PandasLibrary #FinancialAnalysis #StockPerformance
Unlock deeper insights into stock performance by mastering date filtering for time series financial data using the Pandas library. Enhance your financial analysis capab

https://teguhteja.id/mastering-date-filtering-for-insightful-financial-analysis/

I'm pleased to announce release 0.7 of pg_statviz, the minimalist #extension and utility pair for time series analysis and visualization of #PostgreSQL internal statistics, with brand new features and #Postgres 17 support!

https://vyruss.org/blog/pg_statviz-0.7-released-new-features-pg17-support.html

#OpenSource #Database #Visualization #DataViz #TimeSeries #Statistics #TimeSeriesAnalysis

Latest preprint: "Parameter Inference from a Non-stationary Unknown Process" (PINUP)
We unify a previously disjoint literature on algorithms for this important problem and introduce new benchmarking results.

https://arxiv.org/abs/2407.08987v1

#timeseriesanalysis #complexsystems

In connection with #juliacon2024 (which I sadly could not attend), LongMemory.jl has been updated to v0.1.2. The main addition to the package is the test for change in persistence. It is now possible to test if the long memory parameter changed (decreased or increased) in a given sample. The function uses the fast Fourier transform to speed up computations. https://everval.github.io/LongMemory.jl/dev/#Structural-Changes #julialang #timeseries #longmemory #timeseriesanalysis

Introducing LongMemory.jl: A Julia Package for Long Memory Time Series Analysis 🖥️📚📈📊

I am happy to announce that after several months of getting to understand the language better, I have finally published my first Julia registered package: LongMemory.jl. 🙂 This package is the result of my research on long memory time series analysis, which is a fascinating topic in econometrics and statistics. Long memory models are useful for capturing the persistence and dependence of many real-world phenomena, such as inflation, interest rates, volatility, network traffic, and environmental data.

LongMemory.jl makes it easy to generate, estimate, and forecast long memory models in Julia. It supports various types of models, such as fractional differencing, cross-sectional aggregation, and stochastic duration shocks. It also provides functions for testing the presence of long memory, computing the Hurst exponent, and simulating long memory processes. The package is fully documented and includes classical data examples, such as the Nile River minima. 🌊

The package can be installed easily from the Julia general registry. I have prepared a short video that shows how to install the package and generate long memory diagnostics plots for the Nile River minima dataset. The Nile River minima is a famous example of a long memory time series.

I hope you find LongMemory.jl useful and practical. I welcome any feedback, suggestions, or contributions to improve the package. You can contact me or open an issue on GitHub. Thank you for your interest and feedback!

#julialang #programming #programmingjourney #longmemory #timeseriesanalysis #timeseries #econometrics #statistics @[email protected] @[email protected]

Here's one of the slides from my presentation yesterday at #AGU23, featuring the research of Rebecca Chapman.

She used functional PCA, a statistical method very suited to time series data to extract common trends and patterns in data. It is particularly robust to data gaps, which we have many of in our cave hydrology data

If functional PCA sounds like a technique you can use, Rebecca's research is available as a pre-print and the code is online on GitHub. Links are in the image below.

#hydrology #PCA #timeseriesanalysis #cavescience #caves #science

I'm diving into a new project on time series analysis and forecasting, but I'm in search of fresh ideas! What's an intriguing time series problem or dataset you'd love to see tackled? Please share your suggestions. #TimeSeriesProjectIdeas #DataScience #TimeSeriesAnalysis

🚀 The first edition of our "Time Series Analysis and Forecasting in R" course with @nicholasclark
has just kicked off!
Ready to dive into the fascinating world of time series data 📈
#TimeSeriesAnalysis #DataScience #Rstats

Did you miss last week's webinar?👀

Watch the recording now to start leveraging time-series data for your business success🚀👇

In this webinar, you’ll gain expert insights on time-series data analysis and learn the crucial data modeling decisions needed to implement time-series data in CrateDB 👩🏻‍💻
https://crate.io/resources/webinars/lp-wb-time-series-data

#crateio #cratedb #db #database #webinar #recording #livedemo #data #database #datascience #timeseries #timeseriesdata #timeseriesanalysis #dataanalysis

🔭 PROPHET: the good & the meh

My deep-dive into pushing Prophet (formerly Facebook Prophet) to its limits. Lots of great data visualization ASMR too!

https://www.evanmarie.com/prophet/

#timeseries #timeseriesanalysis #stockmarket #datavisualization #machinelearning #prophet #datascience #prediction #facebook

📈 Alpha Vantage API Overview

I just put out a new article, and here it is! It comes complete with BEAUTIFUL new Jupyter notebook stylings...because I cannot imagine why I would put so much work into something and not make it beautiful too! Am I right?

https://www.evanmarie.com/alpha_vantage/

#finance #stockmarket #timeseriesanalysis #APIs #financialdataanalysis

💪 XGBoost Time Series Prediction

Just put out another article. This time it is an extensive look into time series prediction with XGBoost, feature engineering, lag feature creation, cross-validation, and much more! Please enjoy and share!!

https://www.evanmarie.com/xgboost_timeseries/

#timeseries #timeseriesanalysis #datascience #dataengineering #machinelearning #regression

I am collecting data for the projects of my Master's students in #TimeSeriesAnalysis. A project will analyze the impact of George Floyd's murder on #BLM activism on #Twitter. That wave of tweets was really amazing. Another group of students will explore the impact of #Musk management on potential changes to racist messaging on the platform. I can’t wait to see the data and the findings.

Check out my latest note: Calculating the Harris index with Python libraries https://linkedin.com/pulse/calculating-harris-index-python-libraries-gustavo-sanchez #machinelearning #neuralnetworks #edgeai #edgecomputing #tinyml #anomalydetection
#predictivemaintenance #conditionmonitoring
#timeseriesanalysis #signalprocessing #controlsystems

It is anxiety-producing to capture myself in hashtags, but here I go: #Democracy #Democrat #VoteBlue #BlueWave #Socialism #DSA #HumanRights #Peace #AbortionIsHealthcare #ProChoice #Feminism #HigherEducation #AcademicWorker #SystemsThinking #MathModeling #Dynamics #DynamicSystems #CollectiveAction #DistributedCognition #CoordinationDynamics #TimeSeriesAnalysis #PublicEducation #ScienceIsReal #LoveIsLove #LGBTQ #Ally #TransRights #BLM #UnionStrong #Solidarity #WorkersRights #UniversalHealthcare