Dataset for FOSS4G 2022 workshop: Unleash the power of GRASS GIS with Jupyter

Name: Dataset for FOSS4G 2022 workshop: Unleash the power of GRASS GIS with Jupyter
Creator: North Carolina State University
Published: 2022-08-05T00:00:00+08:00

Zenodo2022-08-05 更新2026-04-07 收录

空间数据分析

GRASSGIS与Jupyter集成

数据链接：

https://zenodo.org/record/6967698 数据链接链接失效反馈

官方服务：

资源简介：

Dataset for FOSS4G 2022 workshop <em>Unleash the power of GRASS GIS with Jupyter.</em>

提供机构：

North Carolina State University

创建时间：

2022-08-05

国土调查应用分析平台

国土调查

空间数据分析

国土调查应用分析平台可实现三调成果、二调及变更调查成果、规划数据、土地管理信息及其他国土相关数据的集成管理、二三维一体化浏览、快速分析和灵活调用，面向三调数据应用服务的业务场景构建相关应用服务，通过“1+N”数据架构、空间大数据计算及可视化等技术手段，解决海量调查成果“看、查、统、用”的效率问题，为政府部门开展自然资源相关业务分析决策提供技术支撑，推进国土调查成果的广泛应用。

海南省数据产品超市2022-08-15 更新360

Supplement 1. A vector file of polygon fragment boundaries used in this study in KML format.

GIS

空间数据分析

File List CAO_kipuka_boundaries_20131204.kml (MD5: 9cd3a0afdd95797b21e41515140be36d) A polygon vector GIS layer of the fragment boundaries. Description Description These boundaries were compute

DataCite Commons2020-09-04 更新80

Supplement 1. Software for estimating movement parameters from spatially referenced mark–recapture data.

参数估计

空间数据分析

File List programs.zip example.zip helpfile.pdf Description The file programs.zip includes the software Mapper and Disperse and auxiliary files needed to run the programs. The softw

NIAID Data Ecosystem70

Bayesian nonparametric joint mixture model for clustering spatially correlated time series

时间序列聚类

空间数据分析

We develop a Bayesian nonparametric joint mixture model for clustering spatially correlated time series based on both spatial and temporal similarities. In the temporal perspective, the pattern of a t

DataCite Commons2020-08-27 更新100

Appendix C. The minimum, mean, median, maximum, and standard deviation of each variable by spatial scale.

空间数据分析

地理统计学

The minimum, mean, median, maximum, and standard deviation of each variable by spatial scale.

DataCite Commons2020-09-04 更新80