tweaking new pages

Author: Julia

documentation.html

@@ -55,14 +55,17 @@ <h3>Overview of Functionality - Latest Version of GeoDa (1.8)</h3>
 <p class="rteindent1">&bull; 
 	<a href="https://geodacenter.org/downloads/pdfs/geoda_1.8_1.pdf">Overview, Getting Started, Geovisualization, Multivariate Exploratory Data Analysis</a></br>
 	&bull; <a href="https://geodacenter.org/downloads/pdfs/geoda_1.8_2.pdf">Spatial Weights, Spatial Autocorrelation, Space-Time Exploration, Averages Tool, Spatial Regression</a></p>
-	
+
+<p>&nbsp;</p>
+
 <h3>Spatial Regression User's Guide (Book)</h3>
 
 	<p>The user's guide to the spatial regression functionality in GeoDa can be purchased here:</p>
 
 <p class="rteindent1">&bull; 
 <a href="https://www.amazon.com/Modern-Spatial-Econometrics-Practice-GeoDaSpace/dp/0986342106?ie=UTF8&keywords=anselin%20spatial%20econometrics&qid=1421531753&ref_=sr_1_1&sr=8-1">Luc Anselin and Sergio J. Rey. (2014). Modern Spatial Econometrics in Practice: A Guide to GeoDa, GeoDaSpace and PySAL.</a></p>
 
+<p>&nbsp;</p>
 
 <h3>Older Resources (2003-05)- Legacy GeoDa 0.95i</h3>
 
@@ -76,11 +79,14 @@ <h3>Older Resources (2003-05)- Legacy GeoDa 0.95i</h3>
 <a href="http://geodacenter.org/downloads/pdfs/geoda093.pdf">GeoDa 0.9.3 User's Guide with overview of features</a> (2003; 125 pp., 2.4Mb)</br>
 <a href="http://geodacenter.org/downloads/pdfs/geoda095i.pdf">GeoDa 0.9.5-i Release Noteswith overview of 3D scatter plot, conditional plots, and spatial regression</a>&nbsp;(2003; 64 pp., 1.5Mb)</p>
 
+<p>&nbsp;</p>
 
 <h3>Spatial Data Formats Supported in GeoDa</h3>
 
 <p>GeoDa now supports not only shapefiles but many other spatial data formats. Find more information, including setup instructions about these data formats <a href="formats.html">here</a>.</p>
 
+<p>&nbsp;</p>
+
 <h3>Sample Data and Background Videos for Tutorials</h3>
 
 <p>Access the <a href="https://spatial.uchicago.edu/sample-data" target="_blank">sample data</a> referenced in the documentation and find free online videos about spatial analytics <a href="https://www.youtube.com/user/GeoDaCenter" target="_blank">here</a>.</p>

formats.html

@@ -41,7 +41,7 @@
 
     <section class="page-header">
       <h1 class="project-name">GeoDa</h1>
-      <h2 class="project-tagline">Supported Spatial Data Formats</h2>
+      <h2 class="project-tagline">Data Formats Supported in GeoDa</h2>
       <a href="http://geodacenter.github.io/" class="btn">Homepage</a>
       <a href="http://geodacenter.github.io/download.html" class="btn">Download</a>
       <a href="https://github.com/GeoDaCenter/geoda/" class="btn">View on GitHub</a>

index-cn.html

@@ -66,7 +66,7 @@ <h3>
 
 <p>GeoDa�舐 <a href="https://en.wikipedia.org/wiki/Luc_Anselin">Luc Anselin</a> �ㄚ�<a href="https://github.com/orgs/GeoDaCenter/people">�ａ�</a>撘€��. 霂亦�摨�靘��末��瑞��Ｖ誑�萼撖��其��Ｙ揣�抒征�湔�桀���(ESDA)�瘜�瘥�蝛粹�芰�喟�霈�(spatial autocorrelation statistics)��祉�蝛粹����(spatial regression analysis)�� </p>
 
-<p>隞�2003撟�2�eoDa��蝚砌�銝芰��砌誑�伐�<a href="https://geodacenter.asu.edu/projects/opengeoda">GeoDa��瑟��</a> �€�憓�甇�2016撟�4��GeoDa��瑟�歇蝏�餈�15銝€� ���嚗獄��撌乓€熒憟�蝑��之摮阡�典�撉恕銝剖�鋆僎雿輻GeoDa頧臭辣�eoDa頧臭辣敺鈭�瑕�慦�撟踵��末霂�鋡怎妍銋蛹��銝芷�撣賊�閬���撌亙����甈曉雿移�舐�頧臭辣�������其犖敹�餈��€�</p>
+<p>隞�2003撟�2�eoDa��蝚砌�銝芰��砌誑�伐� GeoDa��瑟�� �€�憓�甇�2016撟�4��GeoDa��瑟�歇蝏�餈�15銝€� ���嚗獄��撌乓€熒憟�蝑��之摮阡�典�撉恕銝剖�鋆僎雿輻GeoDa頧臭辣�eoDa頧臭辣敺鈭�瑕�慦�撟踵��末霂�鋡怎妍銋蛹��銝芷�撣賊�閬���撌亙����甈曉雿移�舐�頧臭辣�������其犖敹�餈��€�</p>
 
 <p>GeoDa�€�啣�撣����1.8 beta��鈭�憭���踝�瘥�嚗�憭�蝛粹�唳�澆�嚗�蝛綽�space-time)�唳嚗���昧okia�artoDB������(Basemap)�曄內嚗��潭�颲銵�(averages charts)嚗�孵�拚(scatter plot matrices)嚗���征�渲�詨��(nonparametric spatial autocorrelation--correlogram)嚗誑�瘣餌��唳�掩�寞�(flexible data categorization)��</p>
 

index.html

@@ -65,7 +65,7 @@ <h3>
 
 <p>GeoDa was developed by <a href="https://en.wikipedia.org/wiki/Luc_Anselin">Dr. Luc Anselin</a> and his <a href="https://github.com/orgs/GeoDaCenter/people">team</a>. The program provides a user-friendly and graphical interface to methods of exploratory spatial data analysis (ESDA), such as spatial autocorrelation statistics, and basic spatial regression analysis for lattice data (points and polygons). </p>
 
-<p>Since its initial release in February 2003, <a href="https://geodacenter.asu.edu/projects/opengeoda">GeoDa's user numbers</a> have increased exponentially to over 150,000 (April 2016). This includes lab users at universities such as Harvard, MIT, and Cornell. The user community and press embraced the program enthusiastically, calling it a "hugely important analytic tool," a "very fine piece of software," and an "exciting development."</p>
+<p>Since its initial release in February 2003, GeoDa's user numbers have increased exponentially to over 160,000 (June 2016). This includes lab users at universities such as Harvard, MIT, and Cornell. The user community and press embraced the program enthusiastically, calling it a "hugely important analytic tool," a "very fine piece of software," and an "exciting development."</p>
 
 <p>The latest beta version 1.8 contains several new features such as support for more spatial file formats, full space-time data support in all views, basemap layers for all maps, averages charts, scatter plot matrices, nonparametric spatial autocorrelation (correlogram), and flexible data categorization.</p>
 

support.html

@@ -30,7 +30,7 @@
   <body>
 
     <section class="page-header">
-      <h1 class="project-name">GeoDa on Github</h1>
+      <h1 class="project-name">GeoDa</h1>
       <h2 class="project-tagline">Support</h2>
       <a href="http://geodacenter.github.io/" class="btn">Homepage</a>
       <a href="http://geodacenter.github.io/download.html" class="btn">Download</a>
@@ -45,7 +45,6 @@ <h2 class="project-tagline">Support</h2>
 
  <h3>Community Support through Openspace Mailing List</h3>
 
- <p>&nbsp;</p>
 <p style="margin-top: 0px; margin-right: 0px; margin-bottom: 0.75em; margin-left: 0px; line-height: 1.5em;">The&nbsp;<a href="http://groups.google.com/group/openspace-list?lnk=" target="_blank">Openspace mailing list</a>&nbsp;is a list to discuss all aspects of methods and open source software tools to carry out spatial data analysis. A specific emphasis is on the GeoDa, GeoDaSpace, PySAL and CAST software programs.</p>
 
 <p style="margin-top: 0px; margin-right: 0px; margin-bottom: 0.75em; margin-left: 0px; line-height: 1.5em;">The list is&nbsp;<strong>not</strong>&nbsp;for the discussion of commercial spatial analysis software, but methodological debates are welcomed. It is for non-commercial use only.</p>