A) The use of geocoding APIs was officially banned. B) Geocoding was restricted to desktop software only. C) Vendors provided full support for global geocoding and reverse geocoding. D) Geocoding became exclusively a manual paper-based process.
A) Greater match rate, precision, and speed. B) Smaller datasets and less computing power. C) Elimination of the need for reference datasets. D) Lower costs and reduced data security.
A) Geocoding is replaced by human intuition. B) The removal of all numerical spatial data. C) The restriction of data to local languages only. D) Geocoding can influence business decisions.
A) Offline, single-user, and local-only geocoding. B) Three-dimensional, indoor, and multiple language returns. C) Holographic, satellite-only, and paper-based geocoding. D) Manual, voice-only, and encrypted geocoding.
A) Translating languages into numerical codes. B) Creating websites based on address data. C) Converting image files into descriptive text. D) Turning descriptive textual information into numerical spatial data.
A) Latitude and longitude coordinates. B) Across the street from the Empire State Building. C) A complete postal address. D) A USPS ZIP code.
A) It is only compatible with indoor maps. B) It uses too many characters. C) It is always perfectly formatted. D) It is geographically dependent on other locations.
A) It is always stored in a paper ledger. B) It requires references to surrounding buildings. C) It can independently specify a spatial representation. D) It is dependent on relative directions.
A) Near the intersection of vague streets. B) USPS ZIP codes. C) Behind the park. D) Next to the grocery store.
A) A process of data cleansing to find and correct errors. B) The physical cleaning of GPS hardware. C) Formatting data into relative coordinates. D) Deleting all old address records.
A) It accounts for misspellings and variety in data entry formats. B) It creates new buildings in the database. C) It deletes the need for a reference dataset. D) It converts all data into 3D images.
A) Converts indoor addresses into 3D models. B) Corrects the spelling of user-input addresses. C) Provides the business intelligence reports. D) Specifies locations of geographic features in a common spatial system.
A) A single audio file. B) A handwritten physical map. C) GIS file format or spatial database. D) A plain text document with no structure.
A) Counties. B) Buildings. C) PO boxes. D) Streets.
A) Street name, directional suffixes/prefixes, and address ranges. B) Only the city and state name. C) Only the population density of the street. D) Only the GPS coordinates of the street center.
A) The Harvard Laboratory team B) Donald Cooke C) James Corbett D) Dr. Roger Tomlinson
A) 1960 B) 1983 C) 1967 D) 1963
A) Centroid calculation B) Percent along C) ZIP identification D) DIME mapping
A) Cambridge, Massachusetts B) Ottawa, Canada C) Washington, D.C. D) New Haven, Connecticut
A) ZIP+4 code B) Street centroid C) ISO 3166-1 alpha-2 D) Geohash
A) Digital Interpolated Mapping Entity B) Data Integrated Map Exchange C) Dual Independent Map Encoding D) District Information Mapping Engine
A) 1983 B) 1963 C) 1960 D) 1967
A) Apple Maps B) Google Maps C) Waze D) Bing Earth
A) 1:1,000 B) 1:100,000 C) 1:50,000 D) 1:500,000
A) The Canada Land Inventory B) The United States Post Office C) A team at the Census Bureau D) The Harvard Laboratory
A) 1970s B) 1980s C) 1990s D) 1960s
A) MIDAS B) Intergraph C) MapInfo Corporation D) ESRI
A) Windows B) Unix C) MS-DOS D) MacOS
A) Pitney Bowes B) ESRI C) Intergraph D) ERDAS
A) Mail-out/mail-back B) Door-to-door interviewing C) Telephone surveys D) Satellite imagery analysis
A) Integration B) Interpolation C) Standardization D) Conflation
A) Area Property Number B) Assessor's Parcel Number C) Automated Parcel Navigation D) Address Point Network
A) 2003 B) 2006 C) 2005 D) 2008
A) Cable television B) Mobile industry C) Automotive manufacturing D) Public transportation
A) Relational table join B) Network routing C) Data encryption D) Graphic rendering
A) They default to the first entry in the database B) They reject the input data entirely C) They incorporate uncertainty handling D) They prompt the user for input
A) By ignoring the suffix entirely B) By using an external dictionary C) By rejecting the input D) Through uncertainty handling
A) At the center point of the entire city B) Slightly less than halfway up the block C) At the very start of the street D) At the exact end of the block
A) A polygon B) A point C) A three-dimensional volume D) A street centerline path
A) It requires too much human input B) The results are not authoritative C) It is illegal to use for emergency services D) The software is too expensive to run
A) 20–25% B) 5–7.5% C) 1–2% D) 50%
A) Street centerlines B) Landmarks C) Postal codes D) GPS
A) Word-based codes B) Mile markers C) Satellite grids D) Traffic lights
A) Geohashing B) Grid referencing C) Toponym resolution D) Postal geocoding
A) Only binary code B) Only random words C) Only ten digits D) Alphanumeric characters
A) Pseudorandom word dictionary B) Satellite imagery C) FullerCode algorithm D) Morton Z-order curve
A) Sensor-based B) Rule-based C) Agent-based D) Object-oriented
A) Australian National University B) University of Melbourne C) Curtin University D) University of Sydney
A) Object Detection B) Sentiment Analysis C) Clustering D) Natural Language Processing
A) Vector layers B) Database tables C) Individual agents D) Raster pixels
A) Routing B) Hardware debugging C) Inventory management D) Encryption
A) Disclaimers B) Advertisements C) User reviews D) Tax documents
A) National media coverage B) An industry award C) International investment D) A government patent |