kikita & Maps

GIS,spatial and artificial intellegence learning and share

Posted on In Disqus:

自从多说挂了之后，网站的评论系统一直缺席中，今天自己部署个LiveRe吧，现在用的hueman主题，就以此主题为例，自己动手丰衣足食了。

  1. 在主题的配置文件中增加一项，livere
    ...\themes\hueman\_config.yml
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comment:
    livere: your data id

2.在...\themes\hueman\layout\comment增加livere.ejs评论模块代码

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<!-- LiveRe City install code -->
<div id="lv-container" data-id="city" data-uid="********">
<script type="text/javascript">
   (function(d, s) {
       var j, e = d.getElementsByTagName(s)[0];

       if (typeof LivereTower === 'function') { return; }

       j = d.createElement(s);
       j.src = 'https://cdn-city.livere.com/js/embed.dist.js';
       j.async = true;

       e.parentNode.insertBefore(j, e);
   })(document, 'script');
</script>
<noscript>Please activate JavaScript for write a comment in LiveRe</noscript>
</div>
<!-- completed City install code -->

3.相关文件增加判断

...\themes\hueman\layout\comment\index.ejs

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<% } else if (theme.comment.livere) { %>
       <%- partial('comment/livere') %>

...\themes\hueman\layout\comment\scripts.ejs

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Posted on In Disqus:

学习python是个有趣的过程，不知不觉累积了一些有意思的小案例和小工具，一直都在本地磁盘流浪，这好像不是一个好主人的作风呢。 把它们放到该去的地方，在这里：https://github.com/kikitaMoon/ArcGIS-Python

开始从来不知道自己会在编程的道路上越走越远，积极用脑、专注做事可能是推迟进入油腻中年的最好途径。 这一年生命中多了一个人，生活有了很多变化，纵然精力旺盛的我也开始觉得分身乏力，感谢宝宝的乖巧才让我有了很多的时间做“贤妻良母”之外的事情。希望我的宝宝长大后，可以看到妈妈的文字，互相感恩乐观前行。

Posted on In Disqus:

The Enterprise Administration Associate exam tests the candidate’s experience operating and supporting enterprise solutions. Qualified candidates should be proficient in best practices, and able to apply configuration changes to meet production needs, to perform continuous monitoring and maintenance, to troubleshoot common Esri technology issues, and to communicate software and support needs. Candidates should have 2-4 years of experience operating and supporting enterprise solutions and 18-24 months working with Esri’s ArcGIS technology.

Qualifications

A qualified candidate should be able to perform the following tasks:

  • Install, configure, and upgrade a base ArcGIS Enterprise deployment
  • Understand and implement the Esri licensing model
  • Publish and administer services, using different ArcGIS Enterprise deployment models (on- premises, hybrid, and cloud)
  • Deploy, publish, and administer GIS services and resources available through ArcGIS Online or ArcGIS Enterprise
  • Diagnose and improve the performance of services from ArcGIS Online and ArcGIS Enterprise
  • Manage cached resources and services
  • Perform ArcGIS Enterprise system administration workflows.
  • Configure security for ArcGIS Enterprise
  • Register external data sources with ArcGIS Enterprise
  • Monitor system health, conduct performance tuning, and identify bottlenecks across an ArcGIS Enterprise deployment

A qualified candidate should be familiar with the following tools:

  • Operating systems, web servers, storage devices, file storage systems, databases, authentication, network and security concepts
  • System monitoring tools
  • Ready-to-use apps, the ArcGIS web APIs, and app templates
  • ArcGIS Enterprise Cloud Builder

A qualified candidate should NOT be expected to perform the following tasks:

  • Apply high availability deployment patterns of ArcGIS Enterprise
  • System design & integration
  • Geodatabase administration and tuning
  • Application development
  • ArcGIS Desktop analysis or data management
  • Security audits and vulnerability assessments

Skill Measured

The following list will familiarize candidates with the exam sections to help guide exam preparation. The relative weight of each section is provided to illustrate the approximate size of each section. Candidates should review this list and assess their knowledge of each skill. Specific preparation resources are available to assist with refreshing in areas where any knowledge gaps are found.

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Posted on In Disqus:

The ArcGIS Desktop Professional exam tests the candidate’s experience applying ArcGIS concepts and processes to workflows. Qualified candidates should demonstrate proficiency when applying advanced GIS concepts and knowledge to establish workflows, processes, troubleshooting non-routine issues, and skilled at defining and successfully completing complex GIS projects. Qualified candidates should have five years of applied experience, and should be proficient in best practices and uses of Esri’s ArcGIS technologies.

Qualifications

A qualified candidate should be able to perform the following tasks:

  • Apply and interpret fundamental spatial statistics and visualization techniques
  • Build a reference data set and an address locator
  • Build a transportation network and apply solvers
  • Implement and apply Python scripting
  • Perform advanced vector and raster analysis
  • Perform fundamentals of geodatabase design and operate within a multi-user geodatabase
  • Perform surface modeling and analysis
  • Utilize advanced modeling techniques
  • Identify and resolve common workflows
  • Author a mosaic dataset
  • Demonstrate proficiency in ArcGIS Desktop user interface and environment configuration
  • Determine and define an appropriate coordinate system
  • Manipulate data with Spatial Analyst, 3D Analyst, and Network Analyst extensions
  • Author and publish to a web GIS portal
  • Implement and apply web content or services to perform analyses
  • Configure web app templates and Web AppBuilder widgets

A qualified candidate should be familiar with the following tools:

  • ArcGIS Desktop (ArcCatalog, ArcMap and ArcGIS Pro)
  • ArcGIS Online
  • ArcGIS Enterprise
  • ArcGIS Network Analyst
  • ArcGIS Spatial Analyst
  • ArcGIS 3D Analyst
  • Python

A qualified candidate should NOT be expected to perform the following tasks:

  • Deliver production quality cartographic output with specific industry solutions
  • Administer a multi-user geodatabase
  • Develop or administer websites
  • Develop tools or apps using any SDK or API
  • Network or systems administration
  • Administer an ArcGIS Online organization

Skill Measured

The following list will familiarize candidates with the exam sections to help guide exam preparation. The relative weight of each section is provided to illustrate the approximate size of each section. Candidates should review this list and assess their knowledge of each skill. Specific preparation resources are available to assist with refreshing in areas where any knowledge gaps are found.

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Posted on In Disqus:

空间插值分析的基本原则是“地理学第一定律”，即“Everything is related to everything else, but near things are more related than distant things”，这是Waldo Tobler提出的。 例如，如果你所在的位置正在下雨，那么很有可能离你100米的位置也在下雨，而20公里以外的地方下雨就不一定了，或者说可能性就低了很多。 大多数插值方法遵循了这样的准则。

插值方法大致可以分为，确定性插值方法/Deterministic interpolation methods和随机性插值方法： 确定性插值方法使用了确定性算法，即，给予特定的输入数据我们会得到相同的结果； 而随机性插值方法是基于统计学的，通常用于更高级的表面预测建模，这种建模方法不仅可以预测表面的数值，也可能会带来误差或者不确定性，一些常见的地统计插值方法就属于这个范畴。

从参与计算预测值的采样点的范围来看，确定性插值方法可以分为全局/Globe和局部/Local两种。 全局插值方法在计算预测值时使用了整个数据集，而局部插值方法是通过特定的领域来计算预测值。

从预测表面是否穿过已知采样点来看，确定性插值还可以分为精确/exact和非精确/inexact两种。 如果插值算法预测的采样点位置的数值与采样点自身的数据一致，那么就是精确插值；否则为非精确插值。

  • 精确插值： 反距离权重法/IDW，径向基函数法/radial basis functions，样条函数法/Spline
  • 非精确插值： 全局或局部多项式法/global and local polynomial

IDW 插值方法

IDW是一种非常实用又很好理解的插值方法，适用于大多数情况。但是有关这个算法还有些注意事项：IDW并没有考虑数据的趋势，例如，如果数据在不同的方向上有不同的变化，那么这会被IDW方法忽略，IDW得到的是各个方向均一的预测插值；IDW插值仅在采样点的最大值和最小值之间进行预测插值，如果你是高程表面建模，那么山峰和河谷很有可能被抹平了。

IDW插值时，可以设置power参数来控制周围采样点对插值影响的显著性。 power值越大，较远的点对预测插值的影响就会越弱，也就是说，远处的采样点对预测值的影响随着power的增大而削减越快。power可以是任意正数，但是通常取值范围是0.5-3，默认为2。

有关IDW还有个常见小问题。既然IDW是精确插值，那为什么有时候看采样点所在像元的预测值与采样点值还是稍有差异？这是因为采样点并没有恰好落在像元的正中心。

样条函数插值方法/Spline Method

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