Use ArcGIS for AutoCAD to easily add, create, and edit GIS information in your AutoCAD drawings.
New Version Introduces Geodatabase Editing
The latest release of ArcGIS for AutoCAD, Esri’s free AutoCAD plug-in, improves the ability to exchange data and information between the ArcGIS and AutoCAD platforms. ArcGIS for AutoCAD users with read/write access to ArcGIS for Server feature services can now edit geodatabases through AutoCAD. This enables easier data dissemination between CAD and GIS users across the enterprise, reduces the duplication of work, and increases efficiency.
CAD professionals can use the free downloadable application to add, create, and edit GIS data within AutoCAD drawings. For example, users can add maps and map services from enterprise or cloud servers, such as ArcGIS Online, to their drawings, giving the design a geographic context and a common operating picture for the organization.
“ArcGIS for AutoCAD is the interface to the ArcGIS system and all of its rich data content, sharing, and data management,” states Esri CAD product manager Don Kuehne. “The possibilities presented by the combination of AutoCAD and ArcGIS services to automate editing and data maintenance workflows are going to result in an exponential leap in value for those who take advantage of them.”
The new release also includes access to image services and a geolocation service for navigating within an AutoCAD drawing. AutoCAD 2010/2011/2012 (32-bit and 64-bit) systems are supported. To learn more about or to download the new release of ArcGIS for AutoCAD, visit esri.com/autocadapp.
[Source: Esri press release]
American Journal of Preventive Medicine, May 2012, Vol. 42, No. 5
“Background: Identifying neighborhood environment attributes related to childhood obesity can inform environmental changes for obesity prevention.
“Purpose: To evaluate child and parent weight status across neighborhoods in King County (Seattle metropolitan area) and San Diego County differing in GIS-defıned physical activity environment (PAE) and nutrition environment (NE) characteristics.
“Methods: Neighborhoods were selected to represent high (favorable) versus low (unfavorable) on the two measures, forming four neighborhood types (low on both measures, low PAE/high NE, high PAE/low NE, and high on both measures). Weight and height of children aged 6–11 yearsandone parent (n730) from selected neighborhoods were assessed in 2007–2009. Differences in child and parent overweight and obesity by neighborhood type were examined, adjusting for neighborhood-, family-, and individual-level demographics.
“Results: Children from neighborhoods high on both environment measures were less likely to be obese (7.7% vs 15.9%,OR0.44, p0.02) and marginally less likely to be overweight (23.7% vs 31.7%,OR0.67, p0.08) than children from neighborhoods low on both measures. In models adjusted for parent weight status and demographic factors, neighborhood environment type remained related to child obesity (high vs low on both measures, OR0.41, p0.03). Parents in neighborhoods high on both measures (versus low on both) were marginally less likely to be obese (20.1% vs 27.7%,OR0.66, p0.08), although parent overweight did not differ by neighborhood environment. The lower odds of parent obesity in neighborhoods with environments supportive of physical activity and healthy eating remained in models adjusted for demographics (high vs low on the environment measures, OR0.57, p0.053).
“Conclusions: Findings support the proposed GIS-based defınitions of obesogenic neighborhoods for children and parents that consider both physical activity and nutrition environment features.”