Last week we updated GeoPlanner to version 2.4. For this update, we wanted to help you be more productive and better assess the impact of your plans. Improving productivity involved making the app easier to use by adding tools so you can … Continue reading
In a previous post, I wrote about how you can view 3D layers in GeoPlanner and do nifty things like model shadows. Things get even niftier if you use Arcade with GeoPlanner to extrude data in 3D.
The 2017 User Conference in San Diego is right around the corner! For those of you who wish to learn more about raster analysis with ArcGIS, read on for some sessions and presentations to be sure to attend.
Imagine if, in a few clicks, you could answer multiple-factor spatial questions like Where are the areas on low angled slopes, in shrubby vegetation and are far from roads? What if you could do that and emphasize the importance of one … Continue reading
The upcoming update of the Business Analyst web app is planned for the end of February and will include several improvements and enhancements. Here is what we have planned: More Powerful Suitability Analysis Incorporate competitive and complementary locations to make … Continue reading
The ArcGIS Predictive Analysis Tools Add-In is available for download. The ArcGIS Predictive Analysis Tools Add-In is a set of tools used by analysts to build models to predict the location of moving or stationary targets or events. You can … Continue reading
Now that EGUG is over and we’ve recovered from our trip to Dearborn, MI it’s time to get back to work and fulfill the promises we made at the conference! With that, I give you the newest geoprocessing template the Preliminary Wind Project Suitability Model.
Here is some more detailed information on the geoprocessing model;
Utilities across the United States are facing mandates requiring a portion of their power generation come from renewable sources. In many areas of the country wind is prevalent; however challenges exist in mitigating impacts on the land and finding buildable sites, due to a range of factors. Sensitive areas such as wetlands, rare and endangered wildlife habitat, and conservation land may be restricted for wind development, while proximity to existing electric transmission lines and land with a certain minimum average wind speed remain highly favorable. Geographic Information Systems (GIS) and geoprocessing models can help focus efforts and reduce environmental impacts by ranking the most suitable areas while avoiding restricted or sensitive areas. Multiple data sources can be included in the analysis and be adjusted for user preferences, leading to a highly efficient and tailored process.
GIS can help with many aspects of a wind project including the initial suitability modeling as well as planning, turbine siting, permitting, outreach, land management, and operations and maintenance. For this post we wanted to focus on the first step in any new wind project, finding suitable sites. Historically, this is done by putting “boots on the ground” and conducting extensive research. This could include trips to the field to investigate properties and site characteristics, reviewing wind resource and topography maps, researching land ownership information and estimating the proximity to existing electric transmission lines. These initial site assessment efforts can be error prone, costly and time consuming. GIS can help save time by consolidating relevant data sources prior to field visits, and providing analysis tools to locate the most suitable wind development sites across the study area which could be one town or an entire region. Results can then be shared with stakeholders in a graphical format that is easy to understand. The geoprocessing model becomes a way to document the analysis that was performed.
ArcGIS geoprocessing allows you to focus on an entire region, state, or project specific area to model many key factors that may be important for siting a wind project. Data values can be ranked from low to highly favorable and can be combined into a weighted overlay. Using the weighted overlay tool you can assign a percent influence to each factor indicating the importance of that factor in determining the suitability for wind project development. These data inputs are combined using a model, resulting in a repeatable and configurable pattern. A geoprocessing model template was developed as a starting point to aid decision makers in selecting wind project sites. The model will take any number of contributing factors and produce a continuous surface showing the most favorable locations. The result easily indentifies potential sites therefore expediting the initial work and lowering planning costs. Using the attached model template, you can study your own areas of interest by loading localized datasets into the predefined data inputs, adjusting the rankings, percent influence and then reviewing your results. The template serves as an example of how you can conduct preliminary wind project suitability modeling using GIS. It is not meant to substitute further research, detailed wind resource studies, nor is it meant meant to encompass all of the constraints that may exist. An ArcGIS geoprocessing model provides a simple and flexible way to analyze complex data relationships and scenarios.
Keep on the lookout for more templates this month!
As always, let us know if you have any problems or feedback.