SlideShare a Scribd company logo
Maponics Neighborhood Boundaries™
 Neighborhoods are a fundamental way that social, cultural,
 and economic context is defined in societies across the globe. And                             “Maponics commitment
 while neighborhoods are informal entities, they can be defined                                 to quality and their
                                                                                                continued expansion of the
 geographically and doing so opens up a world of possibilities in
                                                                                                neighborhood boundary
 terms of correlating places and points of interest to neighborhoods.                           database allows us to provide
 Maponics understands the significance of neighborhood boundaries                               our site visitors with a
 in relation to real estate, search/local search, direct marketing and a                        comprehensive real estate
 myriad of other industries.                                                                    search experience. It is clear
                                                                                                that our customers want the
 Why Neighborhoods Matter                                                                       option to view information at
 Around the world, neighborhoods are the most intuitive way to iden-                            the neighborhood level and
                                                                                                with the scope and quality
 tify geography–SoHo, Haight Ashbury, Picadilly Circus, the Louvre.
                                                                                                of the data we license from
 When people shop for a new home or look for a restaurant, the most                             Maponics, we can deliver on
 natural way to search is by neighborhood. When marketers want to                               that.”
 target their message to the best prospects, analyzing demographics                                                - Alex Lange,
 by neighborhood improves their campaigns. There are countless                                                              CTO
 other ways for businesses and organizations to utilize neighborhood                                                     Roost®
 boundaries for improved customer experience.
 Neighborhood Boundaries Dataset
From North America to Asia Pacific, Maponics is the only GIS data
provider to collect, validate and provide neighborhood boundaries
in over 59 countries. Key features of this dataset:
•     Multiple local data sources per neighborhood including realtors,
      tourism agencies, municipalities, and ongoing customer
      feedback
                                                                                               Formats available:
•     Unambiguous, non-overlapping boundaries
                                                                                               • GIS
                                                                                               • Spatial Database
•     Maponics exclusive neighborhood classification schema with
                                                                                               • Google Maps/KML
      zoning and social use data

•     Neighborhood hierarchy (macro neighborhoods, neighborhoods                               Available via:
      and sub-neighborhoods)
                                                                                               •   GIS File
                                                                                               •   API
Product Offerings
 •	   Neighborhood Boundaries – neighborhood boundaries,
      centroids, names, zoning and social use data                                                    Contact Us
 •	   Neighborhood Centroids – neighborhood centroids, names,                                   sales@maponics.com
      zoning and social use data
                                                                                                    1-800-762-5158
 •	   Neighborhood Names – neighborhood names and locations

                  See our neighborhood data in action:
         www.maponics.com/neighborhoods-demo
Copyright Maponics, LLC All Rights Reserved | Maponics Neighborhood Boundaries PS 01.27.11   maponics.com | 1-800-762-5158
Maponics Neighborhood Boundaries™




 Dataset Use Cases                                                   Quality Assurance
 Neighborhood data enables search and display in                      Quality is central to our mission at Maponics. We
 ways that are easy for people to identify with and                   embed it in every one of our processes, from acquiring
 provides value in these types of use cases:                          and validating source data to running advanced
                                                                      geometric algorithms before we release products. Our
 •     Homebuyers, real estate agents, brokers and
                                                                      GIS experts reach out to local resources so that we can
       appraisers can view properties in relation to
                                                                      provide geographic data that mirrors the reality on the
       neighborhood boundaries to increase the
                                                                      ground and establish ongoing relationships to keep it
       relevance and value of search results
                                                                      current. Whenever possible, we use multiple sources
 •     Search/ local search engine visitors can                       to corroborate data and employ ongoing customer and
       reference neighborhood names in search                         user feedback to continually make our products better.
       terms, improving the relevancy of results
                                                                      Our Quality Program is tailored to each of our
       and enabling display of local neighborhood
                                                                      product lines and includes a comprehensive and
       businesses and points of interest
                                                                      rigorous Quality Assurance (QA) Plan. The QA plan
 •     Direct marketers use neighborhood                              establishes consistent quality standards for every
       demographics as a way to define households                     phase of product development, including resourcing,
       within target markets and improve marketing                    compilation, and verification. The Quality Program
       campaign results                                               also includes an independent GIS Quality Control team
 •     Social networking users can choose to share                    that run numerous test scenarios on all aspects of the
       their current location at the neighborhood                     product, from data contents to database output files.
       level                                                          The Neighborhoods Quality Assurance Plan
                                                                      incorporates direct customer feedback and uses local
 Neighborhood Coverage Areas                                          authenticators to review and validate neighborhood
 North America – over 120,000                                         names and boundaries and ensure our product data is
 Europe – over 13,000                                                 true to local perception.
 Rest of World (South America, Asia Pacific,
 Middle East and Africa) – over 4,000

     About Maponics: We specialize in location-based data and information for businesses, including school, neighborhood,
     carrier route and ZIP Code boundary data. Local search, real estate, mobile, social media and marketing firms rely on Maponics to
     power ultra-local interactive search, mapping, and ad targeting platforms, including Twitter ®, Trulia ®, Citysearch ®, Yellow Book
     USA ®, infoUSA ® , D&B, AccuData ®, Zvents ®, HelloMetro, Loopt ®, Monster.com ®, Zillow ®, Lowe’s ® and many others. The
     Maponics Online Store, powered by Maponics data, is where the USPS.com refers its business customers for postal maps. We are
     located in Vermont.


Copyright Maponics, LLC All Rights Reserved | Maponics Neighborhood Boundaries PS 01.27.11   maponics.com | 1-800-762-5158

More Related Content

Similar to Maponics neighborhood-boundaries-ps-012711

MoveSmart.org Overview
MoveSmart.org OverviewMoveSmart.org Overview
MoveSmart.org Overview
justingmassa
 
MomentFeed Intro
MomentFeed IntroMomentFeed Intro
MomentFeed Intro
Rob Reed
 
Fact sheets 9-10
Fact sheets 9-10Fact sheets 9-10
Fact sheets 9-10
Matthew Rathbun
 
Mining the Undiscovered Market Using Location and Data to Target Growth
Mining the Undiscovered Market Using Location and Data to Target GrowthMining the Undiscovered Market Using Location and Data to Target Growth
Mining the Undiscovered Market Using Location and Data to Target Growth
Precisely
 
Mining Mobile Location data for advertising, mobile marketing and location in...
Mining Mobile Location data for advertising, mobile marketing and location in...Mining Mobile Location data for advertising, mobile marketing and location in...
Mining Mobile Location data for advertising, mobile marketing and location in...
Rob Minaglia
 
Day 3 presentations columbia apr 2012
Day 3 presentations columbia apr 2012Day 3 presentations columbia apr 2012
Day 3 presentations columbia apr 2012
Stanford University
 
15miles Brochure (Inside Spread)
15miles Brochure (Inside Spread)15miles Brochure (Inside Spread)
15miles Brochure (Inside Spread)
Cory Grassell
 
Community & the Consumer: Location-Based Consumer Insights
Community & the Consumer: Location-Based Consumer InsightsCommunity & the Consumer: Location-Based Consumer Insights
Community & the Consumer: Location-Based Consumer Insights
Precisely
 
Sustainable Transit & The Role of the Master Developer
Sustainable Transit & The Role of the Master DeveloperSustainable Transit & The Role of the Master Developer
Sustainable Transit & The Role of the Master Developer
Charlotte Chamber
 
Improve site selection and network planning with Dynamic Demographics
Improve site selection and network planning with Dynamic DemographicsImprove site selection and network planning with Dynamic Demographics
Improve site selection and network planning with Dynamic Demographics
Precisely
 
Mining the Undiscovered Market: Using Location and Consumer Data to Target Gr...
Mining the Undiscovered Market: Using Location and Consumer Data to Target Gr...Mining the Undiscovered Market: Using Location and Consumer Data to Target Gr...
Mining the Undiscovered Market: Using Location and Consumer Data to Target Gr...
Precisely
 
Bricks + Mobile 2011 - mCommerce - Why User Experience Matter More With Onlin...
Bricks + Mobile 2011 - mCommerce - Why User Experience Matter More With Onlin...Bricks + Mobile 2011 - mCommerce - Why User Experience Matter More With Onlin...
Bricks + Mobile 2011 - mCommerce - Why User Experience Matter More With Onlin...
Remodista
 
Cm2labs
Cm2labsCm2labs
Qzedia Introduction to the Mobile Demand Side Platform
Qzedia Introduction to the Mobile Demand Side PlatformQzedia Introduction to the Mobile Demand Side Platform
Qzedia Introduction to the Mobile Demand Side Platform
Qzedia
 
Understanding the Data Behind Programmatic
Understanding the Data Behind ProgrammaticUnderstanding the Data Behind Programmatic
Understanding the Data Behind Programmatic
Precisely
 
Enterprise Location Intelligence
Enterprise Location IntelligenceEnterprise Location Intelligence
Enterprise Location Intelligence
brennonmartin
 
SMX West "Being National, Going Local" - Jon Schepke
SMX West "Being National, Going Local" - Jon SchepkeSMX West "Being National, Going Local" - Jon Schepke
SMX West "Being National, Going Local" - Jon Schepke
SIM Partners
 
Being National, Going Local
Being National, Going LocalBeing National, Going Local
Being National, Going Local
SIM Partners
 
Solving Volume, Velocity, and Variety Challenges with Location
Solving Volume, Velocity, and Variety Challenges with LocationSolving Volume, Velocity, and Variety Challenges with Location
Solving Volume, Velocity, and Variety Challenges with Location
Precisely
 
Deals & Mobile: the Race for Hyper-Local
Deals & Mobile: the Race for Hyper-LocalDeals & Mobile: the Race for Hyper-Local
Deals & Mobile: the Race for Hyper-Local
Joshua Engroff
 

Similar to Maponics neighborhood-boundaries-ps-012711 (20)

MoveSmart.org Overview
MoveSmart.org OverviewMoveSmart.org Overview
MoveSmart.org Overview
 
MomentFeed Intro
MomentFeed IntroMomentFeed Intro
MomentFeed Intro
 
Fact sheets 9-10
Fact sheets 9-10Fact sheets 9-10
Fact sheets 9-10
 
Mining the Undiscovered Market Using Location and Data to Target Growth
Mining the Undiscovered Market Using Location and Data to Target GrowthMining the Undiscovered Market Using Location and Data to Target Growth
Mining the Undiscovered Market Using Location and Data to Target Growth
 
Mining Mobile Location data for advertising, mobile marketing and location in...
Mining Mobile Location data for advertising, mobile marketing and location in...Mining Mobile Location data for advertising, mobile marketing and location in...
Mining Mobile Location data for advertising, mobile marketing and location in...
 
Day 3 presentations columbia apr 2012
Day 3 presentations columbia apr 2012Day 3 presentations columbia apr 2012
Day 3 presentations columbia apr 2012
 
15miles Brochure (Inside Spread)
15miles Brochure (Inside Spread)15miles Brochure (Inside Spread)
15miles Brochure (Inside Spread)
 
Community & the Consumer: Location-Based Consumer Insights
Community & the Consumer: Location-Based Consumer InsightsCommunity & the Consumer: Location-Based Consumer Insights
Community & the Consumer: Location-Based Consumer Insights
 
Sustainable Transit & The Role of the Master Developer
Sustainable Transit & The Role of the Master DeveloperSustainable Transit & The Role of the Master Developer
Sustainable Transit & The Role of the Master Developer
 
Improve site selection and network planning with Dynamic Demographics
Improve site selection and network planning with Dynamic DemographicsImprove site selection and network planning with Dynamic Demographics
Improve site selection and network planning with Dynamic Demographics
 
Mining the Undiscovered Market: Using Location and Consumer Data to Target Gr...
Mining the Undiscovered Market: Using Location and Consumer Data to Target Gr...Mining the Undiscovered Market: Using Location and Consumer Data to Target Gr...
Mining the Undiscovered Market: Using Location and Consumer Data to Target Gr...
 
Bricks + Mobile 2011 - mCommerce - Why User Experience Matter More With Onlin...
Bricks + Mobile 2011 - mCommerce - Why User Experience Matter More With Onlin...Bricks + Mobile 2011 - mCommerce - Why User Experience Matter More With Onlin...
Bricks + Mobile 2011 - mCommerce - Why User Experience Matter More With Onlin...
 
Cm2labs
Cm2labsCm2labs
Cm2labs
 
Qzedia Introduction to the Mobile Demand Side Platform
Qzedia Introduction to the Mobile Demand Side PlatformQzedia Introduction to the Mobile Demand Side Platform
Qzedia Introduction to the Mobile Demand Side Platform
 
Understanding the Data Behind Programmatic
Understanding the Data Behind ProgrammaticUnderstanding the Data Behind Programmatic
Understanding the Data Behind Programmatic
 
Enterprise Location Intelligence
Enterprise Location IntelligenceEnterprise Location Intelligence
Enterprise Location Intelligence
 
SMX West "Being National, Going Local" - Jon Schepke
SMX West "Being National, Going Local" - Jon SchepkeSMX West "Being National, Going Local" - Jon Schepke
SMX West "Being National, Going Local" - Jon Schepke
 
Being National, Going Local
Being National, Going LocalBeing National, Going Local
Being National, Going Local
 
Solving Volume, Velocity, and Variety Challenges with Location
Solving Volume, Velocity, and Variety Challenges with LocationSolving Volume, Velocity, and Variety Challenges with Location
Solving Volume, Velocity, and Variety Challenges with Location
 
Deals & Mobile: the Race for Hyper-Local
Deals & Mobile: the Race for Hyper-LocalDeals & Mobile: the Race for Hyper-Local
Deals & Mobile: the Race for Hyper-Local
 

Recently uploaded

Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
Pixlogix Infotech
 
Things to Consider When Choosing a Website Developer for your Website | FODUU
Things to Consider When Choosing a Website Developer for your Website | FODUUThings to Consider When Choosing a Website Developer for your Website | FODUU
Things to Consider When Choosing a Website Developer for your Website | FODUU
FODUU
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Zilliz
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Malak Abu Hammad
 
OpenID AuthZEN Interop Read Out - Authorization
OpenID AuthZEN Interop Read Out - AuthorizationOpenID AuthZEN Interop Read Out - Authorization
OpenID AuthZEN Interop Read Out - Authorization
David Brossard
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
Alpen-Adria-Universität
 
GenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizationsGenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizations
kumardaparthi1024
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
Uni Systems S.M.S.A.
 
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success StoryDriving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Safe Software
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Kari Kakkonen
 
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024
Jason Packer
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
shyamraj55
 
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdfUni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems S.M.S.A.
 
Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI modelsInfrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
Zilliz
 
June Patch Tuesday
June Patch TuesdayJune Patch Tuesday
June Patch Tuesday
Ivanti
 
Mariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceXMariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceX
Mariano Tinti
 
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development ProvidersYour One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
akankshawande
 
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Speck&Tech
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
Zilliz
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
panagenda
 

Recently uploaded (20)

Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
 
Things to Consider When Choosing a Website Developer for your Website | FODUU
Things to Consider When Choosing a Website Developer for your Website | FODUUThings to Consider When Choosing a Website Developer for your Website | FODUU
Things to Consider When Choosing a Website Developer for your Website | FODUU
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
 
OpenID AuthZEN Interop Read Out - Authorization
OpenID AuthZEN Interop Read Out - AuthorizationOpenID AuthZEN Interop Read Out - Authorization
OpenID AuthZEN Interop Read Out - Authorization
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
 
GenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizationsGenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizations
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
 
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success StoryDriving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
 
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
 
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdfUni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdf
 
Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI modelsInfrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
 
June Patch Tuesday
June Patch TuesdayJune Patch Tuesday
June Patch Tuesday
 
Mariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceXMariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceX
 
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development ProvidersYour One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
 
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
 

Maponics neighborhood-boundaries-ps-012711

  • 1. Maponics Neighborhood Boundaries™ Neighborhoods are a fundamental way that social, cultural, and economic context is defined in societies across the globe. And “Maponics commitment while neighborhoods are informal entities, they can be defined to quality and their continued expansion of the geographically and doing so opens up a world of possibilities in neighborhood boundary terms of correlating places and points of interest to neighborhoods. database allows us to provide Maponics understands the significance of neighborhood boundaries our site visitors with a in relation to real estate, search/local search, direct marketing and a comprehensive real estate myriad of other industries. search experience. It is clear that our customers want the Why Neighborhoods Matter option to view information at Around the world, neighborhoods are the most intuitive way to iden- the neighborhood level and with the scope and quality tify geography–SoHo, Haight Ashbury, Picadilly Circus, the Louvre. of the data we license from When people shop for a new home or look for a restaurant, the most Maponics, we can deliver on natural way to search is by neighborhood. When marketers want to that.” target their message to the best prospects, analyzing demographics - Alex Lange, by neighborhood improves their campaigns. There are countless CTO other ways for businesses and organizations to utilize neighborhood Roost® boundaries for improved customer experience. Neighborhood Boundaries Dataset From North America to Asia Pacific, Maponics is the only GIS data provider to collect, validate and provide neighborhood boundaries in over 59 countries. Key features of this dataset: • Multiple local data sources per neighborhood including realtors, tourism agencies, municipalities, and ongoing customer feedback Formats available: • Unambiguous, non-overlapping boundaries • GIS • Spatial Database • Maponics exclusive neighborhood classification schema with • Google Maps/KML zoning and social use data • Neighborhood hierarchy (macro neighborhoods, neighborhoods Available via: and sub-neighborhoods) • GIS File • API Product Offerings • Neighborhood Boundaries – neighborhood boundaries, centroids, names, zoning and social use data Contact Us • Neighborhood Centroids – neighborhood centroids, names, sales@maponics.com zoning and social use data 1-800-762-5158 • Neighborhood Names – neighborhood names and locations See our neighborhood data in action: www.maponics.com/neighborhoods-demo Copyright Maponics, LLC All Rights Reserved | Maponics Neighborhood Boundaries PS 01.27.11 maponics.com | 1-800-762-5158
  • 2. Maponics Neighborhood Boundaries™ Dataset Use Cases Quality Assurance Neighborhood data enables search and display in Quality is central to our mission at Maponics. We ways that are easy for people to identify with and embed it in every one of our processes, from acquiring provides value in these types of use cases: and validating source data to running advanced geometric algorithms before we release products. Our • Homebuyers, real estate agents, brokers and GIS experts reach out to local resources so that we can appraisers can view properties in relation to provide geographic data that mirrors the reality on the neighborhood boundaries to increase the ground and establish ongoing relationships to keep it relevance and value of search results current. Whenever possible, we use multiple sources • Search/ local search engine visitors can to corroborate data and employ ongoing customer and reference neighborhood names in search user feedback to continually make our products better. terms, improving the relevancy of results Our Quality Program is tailored to each of our and enabling display of local neighborhood product lines and includes a comprehensive and businesses and points of interest rigorous Quality Assurance (QA) Plan. The QA plan • Direct marketers use neighborhood establishes consistent quality standards for every demographics as a way to define households phase of product development, including resourcing, within target markets and improve marketing compilation, and verification. The Quality Program campaign results also includes an independent GIS Quality Control team • Social networking users can choose to share that run numerous test scenarios on all aspects of the their current location at the neighborhood product, from data contents to database output files. level The Neighborhoods Quality Assurance Plan incorporates direct customer feedback and uses local Neighborhood Coverage Areas authenticators to review and validate neighborhood North America – over 120,000 names and boundaries and ensure our product data is Europe – over 13,000 true to local perception. Rest of World (South America, Asia Pacific, Middle East and Africa) – over 4,000 About Maponics: We specialize in location-based data and information for businesses, including school, neighborhood, carrier route and ZIP Code boundary data. Local search, real estate, mobile, social media and marketing firms rely on Maponics to power ultra-local interactive search, mapping, and ad targeting platforms, including Twitter ®, Trulia ®, Citysearch ®, Yellow Book USA ®, infoUSA ® , D&B, AccuData ®, Zvents ®, HelloMetro, Loopt ®, Monster.com ®, Zillow ®, Lowe’s ® and many others. The Maponics Online Store, powered by Maponics data, is where the USPS.com refers its business customers for postal maps. We are located in Vermont. Copyright Maponics, LLC All Rights Reserved | Maponics Neighborhood Boundaries PS 01.27.11 maponics.com | 1-800-762-5158