Feature layer generated from running the Calculate Density solution.

This map shows coffee shops and parks in the city of Minneapolis.

Feature layer generated from running the Summarize Within solution. MinneapolisCoffeeShops_Address were summarized within Minneapolis_Parks_1/4_mi_buffer

Feature layer generated from running the Summarize Within solution. Minneapolis Coffee Shops were summarized within Buffer_of_Minneapolis_Parks_0_25_miles_Ryerson_2023

Feature layer generated from running the Summarize Nearby solution. Minneapolis Parks were summarized nearby Minneapolis Coffee Shops

The Walk Score(tm) is calculated by mapping out the distance to amenities in nine different categories (grocery stores, restaurants, shopping, coffee shops, banks, parks, schools, book stores/libraries, and entertainment) and are weighted according to importance. The distance to a location, counts, and weights determine a base score of an address, which is then normalized to a score from 0 to 100. More information on Walk Score can be found at http://www.walkscore.com/. Source: Walk Score Years Available: 2011, 2017

Feature layer generated from running the Summarize Within solution. MInneapolis Coffee Shops (with Latitudes and Longitudes') were summarized within Neighborhoods, Minneapolis

The Walk Score(tm) is calculated by mapping out the distance to amenities in nine different categories (grocery stores, restaurants, shopping, coffee shops, banks, parks, schools, book stores/libraries, and entertainment) and are weighted according to importance. The distance to a location, counts, and weights determine a base score of an address, which is then normalized to a score from 0 to 100. More information on Walk Score can be found at http://www.walkscore.com/.Source: Walk ScoreYears Available: 2011, 2017

UNCLASSIFIEDInternet cafés are difficult to identify in Gabon, given limited advertising and the ease with which proprietors operate from small, non-descript locations. As such, the country contained upwards of 200 internet cafés in 2005, of which 90 percent were located in Libreville. Though fixed-line internet infrastructure has expanded dramatically over the last decade, Gabon’s limited fiber-optic connectivity and high access prices have allowed mobile networks to leap-frog the fixed internet market. The mobile segment accounted for 94% of the country’s total internet users by the end of 2013, despite providers’ reliance on slower connection speeds. Continued growth in mobile markets in 2014 (pursuant form the recent initiation of 3G services), may inhibit the popularity and growth of cyber cafés, particularly in the near term. Looking further afield, the Gabonese government’s 2012 signature of a loan agreement with the World Bank will afford the country access to the Africa Coast to Europe (ACE) submarine cable, a fiber optic infrastructure project to improve connectivity for all participating countries. Enhanced connection speeds and reductions in fixed-line access costs pursuant from the project’s completion may surge the number of cyber cafés in the country.Attribute Table Field DescriptionsISO3-International Organization for Standardization 3-digit country codeADM0_NAME-Administration level zero identification / nameADM1_NAME-Administration level one identification / nameADM2_NAME-Administration level two identification / nameNAME-Name of internet caféCITY-City location availableSPA_ACC-Spatial accuracy of site location (1 – high, 2 – medium, 3 – low)COMMENTS-Comments or notes regarding the internet caféSOURCE_DT-Source one creation dateSOURCE-Source oneSOURCE2_DT-Source two creation dateSOURCE2-Source twoCollectionThe feature class was generated utilizing data from OpenStreetMap, Google, and other sources. OpenStreetMap is a free worldwide map, created by crowd-sourcing. Consistent naming conventions for geographic locations were attempted but name variants may exist, which can include historical or less widespread interpretations.The data included herein have not been derived from a registered survey and should be considered approximate unless otherwise defined. While rigorous steps have been taken to ensure the quality of each dataset, DigitalGlobe is not responsible for the accuracy and completeness of data compiled from outside sources.Sources (HGIS)“Club Afrique.” World66. January 2014. Accessed December 02, 2014.“Codiservices.” Facebook. February 19, 2014. Accessed December 02, 2014. http://www.facebook.com.“DigitalGlobe Imagery Archive.” DigitalGlobe. Accessed December 02, 2014. “Gabon: Internet Cafés.” Yellow Pages. 2014. Accessed December 02, 2014. http://www.gabon.yellowpg.com.“Gabon.” OpenStreetMap. September 2014. Accessed December 02, 2014. http://www.openstreetmap.org.Google. December 2014. Accessed December 02, 2014. http://www.google.com.“Internet Café in Gabon.” Cybo. January 2014. Accessed December 03, 2014. http://www.cybo.com.“Le Meridien Mandji.” Expedia. January 2014. Accessed December 03, 2014. http://www.expedia.fr.Modandi, Moses. “Development of the mobile telephony and social link in Africa: the case of Gabon.” University of Lyon. December 09, 2005. Accessed December 02, 2014. http://www.theses.univ-lyon2.fr.“Ntic Services & Trading Cyber Café.” Facebook. May 13, 2013. Accessed December 02, 2014. http://www.facebook.com.Sources (Metadata)“Airtel Gabon wins 3G License.” TeleGeography. October 11, 2011. Accessed November 19, 2014. http://www.telegeogrpahy.com. “Freedom of the Press: Gabon.” Freedom House. 2014. Accessed November 19, 2014. http://www.freedomhouse.org.“Gabon Media Stats.” NationMaster. 2014. Accessed November 19, 2014. http://www.nationmaster.com.“Gabon – Telecoms, Mobile and Broadband – Market Insights and Statistics.” BuddeComm. December 2013. Accessed November 19, 2014. http://www.budde.com.au."ITU ICT EYE: Gabon." International Telecommunication Union. January 2014. Accessed November 19, 2014. http://www.itu.int.“The Report: Gabon 2014.” Oxford Business Group. 2014. Accessed December 03, 2014. http://www.oxfordbusinessgroup.com.“World Development Indicators.” The World Bank Group. January 2014. Accessed November 19, 2014. http://www.data.worldbank.org.UNCLASSIFIED

The documentation below is in reference to this items placement in the NM Supply Chain Data Hub. The documentation is of use to understanding the source of this item, and how to reproduce it for updatesTitle: NM Food Retailers, 2022 - Microsoft Excel VersionItem Type: Microsoft ExcelSummary: Food Retailers by type (mobile, restaurant, etc.), as a Microsoft Excel fileNotes: Prepared by: Link uploaded by EMcRae_NMCDCSource: NM Environment Dept. - sent directlyFeature Service: https://nmcdc.maps.arcgis.com/home/item.html?id=fdf6b9eeb01d4cd8bbc32d5b7da16f62UID: 7, 8, 38, 70Data Requested: Food trucks, Local cottage industry (commercial kitchens, etc), Food retailers, Grocery Stores - location, size, typeMethod of Acquisition: Contact made with NM Environment Dept. Date Acquired: May of 2022Priority rank as Identified in 2022 (scale of 1 being the highest priority, to 11 being the lowest priority): 9, 7, 11, 6Tags: PENDING_ Title New Mexico Food Retailers 2022 - NMFoodRetailers2022

Summary List of licensed food retailers with categories as of April 2022

Notes

Source New Mexico Environment Department

Prepared by EMcRae_NMCDC

Feature Service https://nmcdc.maps.arcgis.com/home/item.html?id=69d62107fa3d49a18acb87a8a584ca03

Alias Definition

Name Name

License License Number

Status Status

Street1 Street 1

Street2 Street 2

City City

State State

Zip Zip

Retail Food Establishment (Retail)

Mobile Mobile Food Establisment

MobType MobileType

MobSup Mobile Support Unit

ServArea Servicing Area (Commissary)

FullServ Full Service Restaurant

Restrnt Restaurant

Deli Deli

Seafood Seafood Market

Meat Meat Market

ConvStore Convenience Store

Daycare Day Care

SchFood School Food Program

Bar Bar

Coffee Coffee Shop

Catering Catering Operation

Concess Concession Stand/Snack Bar

Snack Institution

Bakery Bakery

Grocery Market (Grocery)

Other Other

Lat Latitude

Long Longitude

AccScore Accuracy Score

AccType Accuracy Type

Number Number

Street Street

UnitType Unit Type

UnitNum Unit Number

GCCity City

GCState State

GCCounty County

GCZip Zip

GCCountry Country

GCSource Source

The Walk Score(tm) is calculated by mapping out the distance to amenities in nine different categories (grocery stores, restaurants, shopping, coffee shops, banks, parks, schools, book stores/libraries, and entertainment) and are weighted according to importance. The distance to a location, counts, and weights determine a base score of an address, which is then normalized to a score from 0 to 100. More information on Walk Score can be found at http://www.walkscore.com/. Source: Walk Score Years Available: 2011, 2017