A simple survey using Survey123 for ArcGIS

I created a simple survey for collecting Volunteered Geographic Information (VGI) using Survey123 for ArcGIS.  I found this this tool intuitive and easy to use.  It still has some restrictions (I am sure there are better survey tools out there) but I was able to get up and running very quickly.  Of course, I love the mapping option that makes this survey tool unique - it instantly maps the location of the VGI.

I have not yet tried the Analyze and Data capabilities of this tool but in order to give it a serious test, I need lots of people to complete my survey.  Here is a link to the survey:

Link to my survey

When you click on the link (assuming you are using a mobile device), you will be asked to open the survey in the Survey123 for ArcGIS app.  Please download this app from your neighborhood app store (it's free and took me less than 30 seconds to download).  Once you download the app, filling out the survey will take you less than 60 seconds.

Thanks in advance for filling out my survey.  If I get a target number of responses, I promise to share the analysis of the data in a future blog post.

Comments

Post a Comment

Popular posts from this blog

AI, ML, NN and DL: a visual explanation

Image
There appears to be a lot of confusion between the terms Artificial Intelligence (AI), Machine Learning (ML), Neural Networks (NN) and Deep Learning (DL).  Based on research from various popular blogs and articles, here is my attempt at a simple visual explanation:
Read more

Understanding And Interpreting Gain And Lift Charts

Image
Lift and Gain Charts are a useful way of visualizing how good a predictive model is. In SPSS, a typical gain chart appears as follows: In today's post, we will attempt to understand the logic behind generating a gain chart and then discuss how gain and lift charts are interpreted. To do this, we will use the example of a direct mailing company. Let us assume that based on experience, the company knows that the average response rate on its direct mail campaigns is 10%. Let us further make the following assumptions: * Cost per ad mailed = $1 * Return per response = $50 Additionally, let us assume that the company mails out ads in lots of 10,000. Based on these assumptions, if the company mails out 100,000 ads, a table summarizing the results it would obtain from this campaign is provided below: Now let us assume that the company uses SPSS Modeler to develop a predictive model using data from previous campaigns. "Response / No Response" is identified as the ...
Read more

Creating a time series forecast using IBM SPSS Modeler

Image
In today's post, we discuss how to create a time series forecast using IBM SPSS Modeler.  For the purposes of our exercise, we will use historical sales data at a SKU (stock keeping unit) level.  This data is provided in a MicroSoft Excel .xlsx file and must be in the following format: In the image above, AAAAA through EEEEE are SKU numbers with the relevant monthly sales data provided in the respective columns.  There is also a column that indicates the grand total of all SKUs sold in a month (AAAAA +...+ EEEEE + other SKUs not shown in the image above).  The last column in the image above reflects the months for which historical sales data are provided. As with any modeling exercise, we first insert a source node into the modeling canvas.  Since our data is in the MicroSoft Excel .xlsx file format, we insert an Excel source node as follows: On exporting to a Table node, we see the output display as follows: We then add a Filter node to select t...
Read more