soarglobe

soarglobe's Stars

• tidyverse/ggplot2

  An implementation of the Grammar of Graphics in R

  Language:R6.5k2994.1k2k

• gee-community/geemap

  A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

  Language:Python3.5k1166291.1k

• tidymodels/broom

  Convert statistical analysis objects from R into tidy format

  Language:R1.5k53706304

• dwtkns/gdal-cheat-sheet

  Cheat sheet for GDAL/OGR command-line tools

  1.2k725266

• thomasp85/ggforce

  Accelerating ggplot2

  Language:R91726267105

• EasyChart/Beautiful-Visualization-with-R

  《R语言数据可视化之美》配套代码

  Language:PostScript773335550

• tidyverse/lubridate

  Make working with dates in R just that little bit easier

  Language:R73346962207

• nanxstats/ggsci

  🦄 Scientific journal and sci-fi themed color palettes for ggplot2

  Language:R665183471

• rspatial/terra

  R package for spatial data handling https://rspatial.github.io/terra/reference/terra-package.html

  Language:C++543281.5k90

• dataspelunking/MLwR

  Machine Learning with R

  Language:R228354419

• lgatto/IntroMachineLearningWithR

  An Introduction to Machine Learning with R

  Language:R7511337

• GeoCat/bridge-style

  Cartography library making style format conversions as easy as using Python.

  Language:Python49136515

• anishsingh20/Time-series-analysis-of-Inflation-rates-using-ShinyDashboard

  This project will aim at studying and analyzing the inflation rates of countries globally. The dataset is a public dataset downloaded from International Monetary Fund(IMF) which consists of the inflation rates of countries from 1980 to 2017 and the projected inflation rates of the countries till 2022. Finally I will be producing a dashboard build in R to visualize and analyze the inflation rates.

  Language:R465134

• thk686/rgdal2

  R bindings to GDAL/OGR

  Language:R367512

• parulnith/A-guide-to-Machine-Learning-in-R

  A series of articles to get started into the field of Machine Learning with R language

  Language:R2580122

• lvmgeo/GISPython

  Additional tools for administering and automating different ArcPy and ArcGIS Server geoprocessing operations. Package is intended for use with ArcGIS 10.2.1 and later (has been tested on ArcGIS 10.2.2, 10.3.1, 10.6.1).

  Language:Python24317

• ellisvalentiner/lubridateExtras

  Convenience Functions for Manipulating Datetimes

  Language:R19596

• xbr2017/PyGdal_batch_NDVI

  Python+GDAL批量计算MODIS NDVI

  Language:Python192016

• wonder-sk/mapbox2qgis

  Convert vector tile styles from Mapbox GL to QGIS (using the new vector tile layer)

  Language:Python18413

• xbr2017/PyGdal_mosaic

  Python+GDAL进行遥感影像拼接

  Language:Python17219

• xbr2017/PyGdal_resample

  Python+GDAL对遥感图像重采样

  Language:Python13217

• xbr2017/PyGdal_hdf2tif

  Python+GDAL读取hdf数据并保存为Geotiff格式的文件

  Language:Python8105

• xbr2017/PyGdal_stack_bands

  Python+GDAL对多个单波段tif文件叠加成一个多波段文件并保存为tif

  Language:Python8104

• fuyuanhao/GDAL-python3

  learn GDAL with python

  Language:Python72

• Bhrugu-scientist/R-for-Data-Science

  Welcome to R for Data Science Repository. It includes the code in R required for dealing with matrices, data frames and creating beautiful visualizations.

  Language:R5300

• cran/lme4

  :exclamation: This is a read-only mirror of the CRAN R package repository. lme4 — Linear Mixed-Effects Models using 'Eigen' and S4. Homepage: https://github.com/lme4/lme4/ Report bugs for this package: https://github.com/lme4/lme4/issues

  Language:R4301

• liuhaizhou/Beautiful-Visualization-with-R

  Language:PostScript210

• MontseFigueiro/Maps

  Maps with shape files, barplot, ggmap, spplot

  Language:R22

• Katieweimer/mapping-multiple-layers-in-spplot

  120

• remyknox/lubridate_examples

  Language:R1205