# WhiteboxTools-ArcGIS
[![docs](https://img.shields.io/badge/whitebox-docs-brightgreen.svg)](https://www.whiteboxgeo.com/manual/wbt_book/preface.html)
[![ArcGIS](https://img.shields.io/badge/whitebox-ArcGIS-brightgreen.svg)](https://github.com/giswqs/WhiteboxTools-ArcGIS)
[![python](https://img.shields.io/badge/whitebox-Python-blue.svg)](https://github.com/giswqs/whitebox-python)
[![R](https://img.shields.io/badge/whitebox-R-green.svg)](https://github.com/giswqs/whiteboxR)
[![QGIS](https://img.shields.io/badge/whitebox-QGIS-orange.svg)](https://www.whiteboxgeo.com/manual/wbt_book/qgis_plugin.html)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Twitter Follow](https://img.shields.io/twitter/follow/giswqs?style=social)](https://twitter.com/giswqs)
[![Donate](https://img.shields.io/badge/Donate-Buy%20me%20a%20coffee-yellowgreen.svg)](https://www.buymeacoffee.com/giswqs)
ArcGIS Python Toolbox for WhiteboxTools.
This repository is related to the **ArcGIS Python Toolbox for WhiteboxTools**, which is an ArcGIS frontend of a stand-alone executable command-line program called **[WhiteboxTools](https://github.com/jblindsay/whitebox-tools)**.
![Note](https://i.imgur.com/Ic8BA7C.png) **Important Note:** This toolbox only supports **ArcGIS Pro and ArcGIS 10.6 or newer**. Don't waste your time trying it on ArcGIS 10.5 or older versions.
* Authors: Dr. John Lindsay (<https://www.whiteboxgeo.com/manual/ghrg/index.html>)
* Contributors: Dr. Qiusheng Wu (<https://wetlands.io> | <https://blog.gishub.com>)
* WhiteboxTools: <https://github.com/jblindsay/whitebox-tools>
* User Manual: <https://www.whiteboxgeo.com/manual/wbt_book/preface.html>
* WhiteboxTools-ArcGIS: <https://github.com/giswqs/WhiteboxTools-ArcGIS>
* WhiteboxTools-Python: <https://github.com/giswqs/whitebox>
* WhiteboxTools-Jupyter: <https://github.com/giswqs/whiteboxgui>
* WhiteboxTools-R: <https://github.com/giswqs/whiteboxR>
* Free software: [MIT license](https://opensource.org/licenses/MIT)
**Contents**
1. [Description](#description)
2. [Installation](#installation)
3. [Usage](#usage)
4. [Available Tools](#available-tools)
5. [Supported Data Formats](#supported-data-formats)
6. [Contributing](#contributing)
7. [License](#license)
8. [Reporting Bugs](#reporting-bugs)
9. [Toolbox Screenshots](#toolbox-screenshots)
## Description
**WhiteboxTools-ArcGIS** is an ArcGIS Python Toolbox for **WhiteboxTools**, an advanced geospatial data analysis platform developed by Prof. John Lindsay ([webpage](https://www.whiteboxgeo.com/manual/ghrg/index.html); [jblindsay](https://github.com/jblindsay)) at the University of Guelph's [Geomorphometry and Hydrogeomatics Research Group](https://www.whiteboxgeo.com/manual/ghrg/index.html). *WhiteboxTools* can be used to perform common geographical information systems (GIS) analysis operations, such as cost-distance analysis, distance buffering, and raster reclassification. Remote sensing and image processing tasks include image enhancement (e.g. panchromatic sharpening, contrast adjustments), image mosaicing, numerous filtering operations, simple classification (k-means), and common image transformations. *WhiteboxTools* also contains advanced tooling for spatial hydrological analysis (e.g. flow-accumulation, watershed delineation, stream network analysis, sink removal), terrain analysis (e.g. common terrain indices such as slope, curvatures, wetness index, hillshading; hypsometric analysis; multi-scale topographic position analysis), and LiDAR data processing. LiDAR point clouds can be interrogated (LidarInfo, LidarHistogram), segmented, tiled and joined, analyized for outliers, interpolated to rasters (DEMs, intensity images), and ground-points can be classified or filtered. *WhiteboxTools* is not a cartographic or spatial data visualization package; instead it is meant to serve as an analytical backend for other data visualization software, mainly GIS. Suggested citation: Lindsay, J. B. (2016). Whitebox GAT: A case study in geomorphometric analysis. _Computers & Geosciences_, 95, 75-84. doi:[10.1016/j.cageo.2016.07.003](http://dx.doi.org/10.1016/j.cageo.2016.07.003).
## Installation
### Step 1: Download the toolbox
1. Click the green button (**[Clone or download](https://gishub.org/whitebox-arcgis-download)**) on the upper-right corner of this page to download the toolbox as a zip file.
![](https://i.imgur.com/2xQkxCY.png)
2. Depcompress the downloaded zip file.
### Step 2: Connect to the toolbox
1. Navigate to the **Folder Connections** node in the catalog window tree.
2. Right-click the node and choose **Connect To Folder**.
![](https://i.imgur.com/uKK1Yel.png)
3. Type the path or navigate to the **WhiteboxTools-ArcGIS** folder and click **OK**.
4. Browse into the toolbox and start using its tools.
![](https://i.imgur.com/JcdNBnt.png)
## Usage
Open any tool within the toolbox and start using it. Check out the [WhiteboxTools User Mannual](https://www.whiteboxgeo.com/manual/wbt_book/) for more detailed help documentation of each tool.
![](https://i.imgur.com/4c9RLZY.png)
## Available Tools
The **[WhiteboxTools](https://github.com/jblindsay/whitebox-tools)** library currently contains **468** tools, which are each grouped based on their main function into one of the following categories: Data Tools, GIS Analysis, Hydrological Analysis, Image Analysis, LiDAR Analysis, Mathematical and Statistical Analysis, Stream Network Analysis, and Terrain Analysis. For a listing of available tools, complete with documentation and usage details, please see the [WhiteboxTools User Manual](https://www.whiteboxgeo.com/manual/wbt_book/available_tools/index.html).
## Supported Data Formats
The **WhiteboxTools** library can currently support read/writing raster data in [*Whitebox GAT*](http://www.uoguelph.ca/~hydrogeo/Whitebox/), GeoTIFF, ESRI (ArcGIS) ASCII and binary (.flt & .hdr), GRASS GIS, Idrisi, SAGA GIS (binary and ASCII), and Surfer 7 data formats. The library is primarily tested using Whitebox raster data sets and if you encounter issues when reading/writing data in other formats, you should report the [issue](https://github.com/jblindsay/whitebox-tools/issues). Please note that there are no plans to incorporate third-party libraries, like [GDAL](http://www.gdal.org), in the project given the design goal of keeping a pure (or as close as possible) Rust codebase.
At present, there is limited ability in *WhiteboxTools* to read vector geospatial data. Support for Shapefile (and other common vector formats) will be enhanced within the library soon.
LiDAR data can be read/written in the common [LAS](https://www.asprs.org/committee-general/laser-las-file-format-exchange-activities.html) data format. *WhiteboxTools* can read and write LAS files that have been compressed (zipped with a .zip extension) using the common DEFLATE algorithm. Note that only LAS file should be contained within a zipped archive file. The compressed LiDAR format LAZ and ESRI LiDAR format are not currently supported by the library.
## Contributing
If you would like to contribute to the project as a developer, follow these instructions to get started:
1. Fork the WhiteboxTools-ArcGIS repository (<https://github.com/giswqs/WhiteboxTools-ArcGIS>)
2. Create your feature branch (git checkout -b my-new-feature)
3. Commit your changes (git commit -am 'Add some feature')
4. Push to the branch (git push origin my-new-feature)
5. Create a new Pull Request
Unless explicitly stated otherwise, any contribution intentionally submitted for inclusion in the work shall be licensed as the [MIT license](https://opensource.org/licenses/MIT) without any additional terms or conditions.
## License
The **ArcGIS Toolbox for WhiteboxTools** is distributed under the [MIT license](https://opensource.org/licenses/MIT), a permissive open-source (free software) license.
## Reporting Bugs
**ArcGIS Toolbox for WhiteboxTools** is distribute
没有合适的资源?快使用搜索试试~ 我知道了~
温馨提示
重要说明:此工具箱仅支持ArcGIS Pro 和 ArcGIS 10.6 或更高版本。不要浪费时间在 ArcGIS 10.5 或更早版本上尝试。 用户手册:https://www.whiteboxgeo.com/manual/wbt_book/preface.html WhiteboxTools-ArcGI 例如成本-距离分析、距离缓冲和栅格重分类。遥感和图像处理任务包括图像增强(例如全色锐化、对比度调整)、图像拼接、大量过滤操作、简单分类(k-means)和常见的图像变换。白盒工具还包含用于空间水文分析(例如流量累积、流域划定、河流网络分析、汇移除)、地形分析(例如常见地形指数,如坡度、曲率、湿度指数、山体阴影;测高分析;多尺度地形)的高级工具位置分析)和激光雷达数据处理。LiDAR 点云可以被查询(LidarInfo、LidarHistogram)、分割、平铺和连接,分析异常值,插值到栅格(DEM,强度图像),并且可以对地面点进行分类或过滤。白盒工具不是制图或空间数据可视化包;相反,它旨在用作其他数据可视化软件(主要是 GIS)的分析后端。
资源推荐
资源详情
资源评论
收起资源包目录
ArcGIS pro/ArcGIS 10.6及以上版本的最强工具箱-“WhiteboxTools”(468新功能:GIS分析 (127个子文件)
CLSA_Wetland_Polylines.cpg 5B
LC80320272014265LGN00_Boundary.cpg 5B
TM_WORLD_BORDERS_SIMPL-0.3.dbf 24KB
CLSA_Wetland_Points.dbf 1KB
CLSA_Wetland_Polylines.dbf 1KB
CLSA_Wetland_Polygons.dbf 730B
CLSA_Boundary.dbf 127B
LC80320272014265LGN00_Boundary.dbf 127B
DEM.dep 445B
whitebox_tools.exe 30.09MB
gaussian_scale_space.exe 3.49MB
exposure_towards_wind_flux.exe 3.38MB
raster_calculator.exe 3.36MB
conditional_evaluation.exe 3.35MB
rho8_flow_accumulation.exe 3.34MB
heat_map.exe 3.34MB
max_upslope_value.exe 3.3MB
qin_flow_accumulation.exe 3.29MB
local_quadratic_regression.exe 3.29MB
quinn_flow_accumulation.exe 3.28MB
conditioned_latin_hypercube.exe 3.25MB
edge_contamination.exe 3.23MB
lidar_shift.exe 2.2MB
travelling_salesman_problem.exe 520KB
split_vector_lines.exe 440KB
register_license.exe 285KB
open.gif 1KB
closed.gif 592B
tool.gif 555B
.gitignore 2KB
gaussian_scale_space.json 4KB
conditioned_latin_hypercube.json 4KB
qin_flow_accumulation.json 3KB
heat_map.json 3KB
rho8_flow_accumulation.json 3KB
quinn_flow_accumulation.json 3KB
conditional_evaluation.json 2KB
exposure_towards_wind_flux.json 2KB
edge_contamination.json 2KB
lidar_shift.json 2KB
travelling_salesman_problem.json 1KB
local_quadratic_regression.json 1KB
max_upslope_value.json 1KB
split_vector_lines.json 1KB
raster_calculator.json 1KB
settings.json 129B
LICENSE 1KB
README.md 8KB
arcgis-pro-2.png 914KB
arcgis-pro.png 569KB
WBRunner.png 379KB
Toolbox.png 203KB
Toolbox-1.png 188KB
Toolbox-3.png 171KB
Toolbox-2.png 156KB
arcgis-10.5.png 122KB
ArcGIS-10.6.png 116KB
WhiteboxToolsLogo_box_only.png 47KB
WhiteboxToolsLogo_vert4.png 33KB
WhiteboxToolsLogo_vert2.png 33KB
WhiteboxToolsLogo_vert1.png 33KB
WhiteboxToolsLogo_vert3.png 33KB
WhiteboxToolsLogo.png 18KB
WhiteboxToolsLogoBlue.png 18KB
WhiteboxToolsLogoGreen.png 17KB
tool.png 714B
open.png 524B
closed.png 311B
CLSA_Wetland_Polylines.prj 424B
CLSA_Boundary.prj 424B
CLSA_Wetland_Polygons.prj 424B
CLSA_Wetland_Points.prj 424B
LC80320272014265LGN00_Boundary.prj 424B
TM_WORLD_BORDERS_SIMPL-0.3.prj 145B
WhiteboxTools.py 1.36MB
whitebox_tools.py 471KB
whitebox_tools.py 349KB
wb_runner.py 59KB
file_header.py 22KB
automation.py 21KB
file_about.py 12KB
whitebox_example.py 6KB
testing.py 4KB
file_tool.py 877B
examples.py 547B
file_toolbox.py 545B
__init__.py 0B
WhiteboxTools.pyt 1.36MB
CLSA_Wetland_Polylines.sbn 348B
CLSA_Wetland_Polygons.sbn 276B
CLSA_Wetland_Points.sbn 276B
CLSA_Wetland_Polylines.sbx 132B
CLSA_Wetland_Polygons.sbx 132B
CLSA_Wetland_Points.sbx 124B
TM_WORLD_BORDERS_SIMPL-0.3.shp 438KB
CLSA_Wetland_Polygons.shp 322KB
CLSA_Wetland_Polylines.shp 29KB
CLSA_Wetland_Points.shp 548B
CLSA_Boundary.shp 236B
LC80320272014265LGN00_Boundary.shp 236B
共 127 条
- 1
- 2
资源评论
地质人红酒
- 粉丝: 0
- 资源: 6
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
最新资源
- C#ASP.NET大型合同管理系统源码 项目合同源码数据库 SQL2008源码类型 WebForm
- (源码)基于Arduino的温湿度传感器与OLED显示屏显示系统.zip
- Type C PCB封装库 6Pin 24Pin 有公头、有母头分享下载Altium格式
- btstack协议栈-HID Mouse Classic
- (ARM-LINUX)C源码-课程设计.zip
- btstack协议栈实战篇-HID Keyboard Classic
- 自然语言处理大作业Python实现基于词典的分词方法源代码+实验报告(高分项目)
- 基于C++实现的交互界面计算器程序项目源码+详细代码注释(高分项目)
- 数据库期末作业基于Python+mysql的餐厅点餐系统源码+数据库+文档说明(高分项目)
- 打印机输出中心,博艺HP45输出中心 1907版
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功