Tools tagged with "Data Analysis"

BiodiversityMapping.org offers an extensive collection of global and regional maps showcasing the distribution of various species. It provides detailed visualizations for terrestrial and marine biodiversity, covering a wide array of taxa. Users can access and download GIS data for further analysis, making it a valuable resource for research and conservation efforts.

MintPy is an open-source Python package developed for processing Interferometric Synthetic Aperture Radar (InSAR) time-series data. It specializes in analyzing ground deformation by extracting precise displacement measurements from satellite imagery. The software provides tools for various geodetic applications, including monitoring earthquakes, volcanoes, and land subsidence.

This portal serves as Alabama's public platform for accessing and utilizing open geospatial data. Users can explore, search, preview, and download various state and national datasets. It also highlights featured applications and encourages building new apps and sharing insights.

This project offers comprehensive information and daily datasets for monitoring and analyzing changes in weather and climate extremes across Europe. Initiated by ECSN in 1998, it receives financial support from EUMETNET and the European Commission, regularly updating its extensive database with contributions from national meteorological agencies.

PROJ is a fundamental open-source library designed for performing cartographic projections and coordinate transformations. It provides essential functionalities for converting geospatial data between various coordinate reference systems, making it a critical component in many GIS and mapping applications. The library ensures accurate and reliable transformations for diverse geographical contexts.

Terratorch is an open-source Python toolkit developed by terrastackai. It provides essential functionalities and tools for researchers and developers to fine-tune Geospatial Foundation Models (GFMs), adapting them to specific tasks and datasets. This platform facilitates advanced machine learning applications within the geospatial domain.

This GitHub repository features an extensive, community-driven compilation of geospatial tools and resources. It serves as a valuable hub for developers, researchers, and enthusiasts seeking various software, libraries, datasets, and educational materials in the geospatial domain. The list is continuously updated, reflecting the dynamic nature of the geospatial technology landscape.

Open3D is an open-source library designed for the rapid development of software involving 3D data. It provides a highly optimized backend for parallelization and exposes a curated set of data structures and algorithms in both C++ and Python. The library supports various 3D data processing tasks, including scene reconstruction, surface alignment, and advanced visualization with physically based rendering.

The ESPON Database Portal offers data, indicators, and tools for European territorial development and cohesion policy. It supports researchers, policymakers, and stakeholders at regional and local levels with information for policy formulation, application, and monitoring.

DataVic serves as the official open data portal for the Victorian Government in Australia. It provides a centralized platform for the public to find and access a wide range of data assets from various organizations across the Victorian public sector. The portal aims to enhance transparency and foster innovation by making government data readily available.

GeeFlow is a Python library from Google DeepMind designed for generating and processing large-scale geospatial datasets using Google Earth Engine. It focuses on supporting geospatial AI research by creating datasets in TFDS format, ready for model training, and enabling the creation of inference maps up to global scale.

Felt is a cloud-native GIS mapping software designed to help users build maps, applications, and dashboards swiftly. It emphasizes speed, simplicity, and collaboration, enabling users to get started with mapping and spatial analysis in minutes. The platform integrates various tools for modern geospatial workflows.

This website offers a wide array of tutorials designed to help users effectively utilize QGIS, the free and open-source geographic information system. It covers fundamental GIS concepts, data manipulation, spatial analysis, and advanced mapping techniques. The resource is structured to guide users through various QGIS functionalities with clear, step-by-step instructions.

rioxarray is an open-source Python library that extends xarray with geospatial capabilities, leveraging the power of rasterio. It simplifies working with georeferenced raster data, enabling users to efficiently read, write, and manipulate multi-dimensional geospatial arrays. This tool is ideal for data scientists and researchers handling large-scale imagery and raster datasets.

Laravel-Magellan is a robust PostGIS toolbox designed for Laravel applications. It provides comprehensive functionalities for integrating and managing geospatial data within a Laravel framework. This package simplifies common PostGIS operations, enabling developers to build powerful location-aware features.

This initiative by the U.S. National Park Service focuses on the importance of natural sounds, their preservation, and the impacts of noise pollution. It provides comprehensive information on exploring, understanding, and measuring soundscapes in national parks. The program highlights educational resources and efforts to improve sound environments for wildlife, wilderness, visitors, and cultural-historical sites.

This plugin seamlessly integrates Google Earth Engine with QGIS, providing users with powerful geospatial analysis capabilities. It leverages the Google Earth Engine Python API to enable advanced remote sensing and data processing directly within the QGIS environment.

Pyrocko is a flexible open-source seismology environment and framework, providing building blocks for researchers and students. It is utilized for various geophysical tasks, including seismological data processing and analysis, modeling of InSAR and GPS data, dynamic waveforms, and seismic source characterization.

geobr provides a user-friendly interface to access official spatial data sets of Brazil. It simplifies the process of downloading, reading, and organizing various geographic data for researchers and analysts. The package supports both R and Python environments, making it versatile for different programming preferences.

Marine Regions provides a standardized list of marine georeferenced place names and areas, integrating information from the VLIMAR Gazetteer and MARBOUND database. It serves as a global standard for marine geographic locations, boundaries, and regions, offering comprehensive statistics on marine places and names.

This platform serves as the official open data portal for the Australian Capital Territory (ACT) Government. It provides public access to a wide range of government datasets, supporting transparency, re-usability, and community engagement. Users can find data related to various sectors, including education, transport, safety, and geospatial information.

This portal offers comprehensive GIS data from the Pennsylvania Department of Transportation (PennDOT). Users can map, style, chart, download, and share various datasets related to the state's transportation infrastructure and assets.

Who’s On First is a comprehensive gazetteer containing over 26 million records of places worldwide, ranging from continents to individual venues. Each entry features a stable identifier and a rich set of descriptive properties. The project offers its data in various formats, including GeoJSON and SQLite, and provides an API for programmatic access.

The Hand-in-Hand (HiH) Geospatial Platform is an enabling tool for the HiH Initiative, offering over 2 million data layers for targeted, evidence-based interventions. This Digital Public Good provides open-access geographic information, key food security indicators, and agricultural statistics from FAO and external organizations like NGOs, academia, and space agencies.

GeoIntel is an open-source project leveraging Google's Gemini API for advanced geo-location analysis. It focuses on using artificial intelligence to accurately determine the precise geographic location where a photograph was originally captured. This tool provides capabilities for uncovering hidden spatial data within image metadata.

This R package provides tools to calculate multi-scale geomorphometric terrain attributes from regularly gridded digital elevation models (DEM) and bathymetry rasters. It utilizes a specified window approach as described in Ilich et al. (2023) to derive various terrain characteristics. The package extends classical formulations for analyzing terrain morphology.

The G-Econ research project develops a geophysically based global dataset on economic activity. It provides "gross cell product" (GCP) for all regions at a 1-degree longitude by 1-degree latitude resolution. The current dataset, GEcon 4.0, covers 1990, 1995, 2000, and 2005, offering 27,500 terrestrial observations.

This website offers comprehensive guides for OpenStreetMap users, covering beginner topics, advanced editing with JOSM, and detailed information on OSM data. It provides practical tutorials on mapping various features and utilizing tools like the iD editor and QGIS for data management.

CoastSat is an open-source Python software toolkit designed for global shoreline mapping. It enables users to obtain time-series of shoreline position at any coastline worldwide. The tool leverages 40 years (and growing) of publicly available satellite imagery from Landsat and Sentinel-2 missions.

This file contains the boundaries of all census subdivisions across Canada, which are municipalities or equivalent areas like Indian reserves and unorganized territories. It offers a crucial framework for geographic analysis and mapping using various GIS and mapping software. A comprehensive reference guide is also included with the file.

City Energy Analyst (CEA) is an open-source urban building energy modeling (UBEM) platform. It provides a comprehensive suite of computational tools designed to facilitate the planning and design of low-carbon and highly efficient urban environments. The platform supports various analyses for sustainable city development.

Potree is an open-source WebGL-based point cloud viewer, enabling users to interactively explore extensive 3D point cloud datasets directly within a web browser. It provides a robust solution for visualizing remotely sensed data, supporting various applications from urban planning to environmental monitoring.

This resource details the lidar data collection methods employed by NSF NEON to map vegetation height, density, and other surface characteristics over large regions. Using airborne sensors, lidar provides detailed 3D pictures of forest structure, crucial for ecological research. It highlights the advantages of active sensors like lidar for comprehensive ecosystem parameter mapping.

Diamond Bay Research provides access to a wide array of geographic data, primarily focusing on historical and modern GIS resources for Asia, particularly China and Japan. The collection includes diverse datasets ranging from administrative boundaries and historical maps to environmental data and placenames, often hosted on Harvard Dataverse.

Pysheds is an open-source Python library designed for efficient watershed delineation and digital elevation model (DEM) processing. It provides tools for conditioning elevation data, such as filling pits and depressions, and for extracting hydrological features like stream networks and watersheds. The library is built for speed and ease of use in geospatial analysis workflows.

The WSDOT Geospatial Open Data Portal provides public access to the Washington State Department of Transportation's spatial data. Users can explore, filter, and download a variety of geospatial datasets related to transportation infrastructure and operations within Washington State. The portal also offers interactive maps for enhanced data visualization and analysis.