3

3D models

• ANALYSIS OF SOLAR POTENTIAL OF ROOFS BASED ON DIGITAL TERRAIN MODEL, pages 37–41

C

Classification

• CLASSIFICATION OF TRAFFIC RELATED SHORT TEXTS TO ANALYSE ROAD PROBLEMS IN URBAN AREAS, pages 91–97

Context Awareness

• AN ANALYSIS OF CONTEXT-AWARE DATA MODELS FOR SMART CITIES: TOWARDS FIWARE AND ETSI CIM EMERGING DATA MODEL, pages 43–50

community detection

• SOCIAL MEDIA PARTICIPATION IN URBAN PLANNING: A NEW WAY TO INTERACT AND TAKE DECISIONS, pages 59–64

configurational accessibility analysis

• PLACE-MAKING: AN APPROACH TO THE RATIONALE BEHIND THE LOCATION CHOICE OF POWER PLACES. IOWA STATE UNIVERSITY CAMPUS AS CASE STUDY, pages 73–81

crowdsourcing

• RECOGNIZING REFERENCES TO PHYSICAL PLACES INSIDE SHORT TEXTS BY USING PATTERNS AS A SEQUENCE OF GRAMMATICAL CATEGORIES, pages 83–89

D

Data Analysis

• CLASSIFICATION OF TRAFFIC RELATED SHORT TEXTS TO ANALYSE ROAD PROBLEMS IN URBAN AREAS, pages 91–97

Data Models

• AN ANALYSIS OF CONTEXT-AWARE DATA MODELS FOR SMART CITIES: TOWARDS FIWARE AND ETSI CIM EMERGING DATA MODEL, pages 43–50

Data analysis

• URBAN MULTISENSORY LABORATORY, AN APPROACH TO MODEL URBAN SPACE HUMAN PERCEPTION, pages 29–35

Design Thinking

• URBAN MULTISENSORY LABORATORY, AN APPROACH TO MODEL URBAN SPACE HUMAN PERCEPTION, pages 29–35

data platform

• Making Sense for Society, pages 105–108

digital surface model

• ANALYSIS OF SOLAR POTENTIAL OF ROOFS BASED ON DIGITAL TERRAIN MODEL, pages 37–41

E

ETSI CIM

• AN ANALYSIS OF CONTEXT-AWARE DATA MODELS FOR SMART CITIES: TOWARDS FIWARE AND ETSI CIM EMERGING DATA MODEL, pages 43–50

Emotional Response

• URBAN MULTISENSORY LABORATORY, AN APPROACH TO MODEL URBAN SPACE HUMAN PERCEPTION, pages 29–35

External Knowledge

• ABOUT EXTERNAL GEOGRAPHIC INFORMATION AND KNOWLEDGE IN SMART CITIES, pages 51–58

F

FIWARE

• AN ANALYSIS OF CONTEXT-AWARE DATA MODELS FOR SMART CITIES: TOWARDS FIWARE AND ETSI CIM EMERGING DATA MODEL, pages 43–50
• A CLOUD-BASED ARCHITECTURE FOR SMART VIDEO SURVEILLANCE, pages 99–104

First Law of Geography

• ABOUT EXTERNAL GEOGRAPHIC INFORMATION AND KNOWLEDGE IN SMART CITIES, pages 51–58

G

GSP

• RECOGNIZING REFERENCES TO PHYSICAL PLACES INSIDE SHORT TEXTS BY USING PATTERNS AS A SEQUENCE OF GRAMMATICAL CATEGORIES, pages 83–89

Geo-information technology

• MOBILE TRAFFIC ALERT AND TOURIST ROUTE GUIDANCE SYSTEM DESIGN USING GEOSPATIAL DATA, pages 11–18

Geographic Information

• ABOUT EXTERNAL GEOGRAPHIC INFORMATION AND KNOWLEDGE IN SMART CITIES, pages 51–58

Geographic Information Science

• ABOUT EXTERNAL GEOGRAPHIC INFORMATION AND KNOWLEDGE IN SMART CITIES, pages 51–58

Geographic Information Systems

• ABOUT EXTERNAL GEOGRAPHIC INFORMATION AND KNOWLEDGE IN SMART CITIES, pages 51–58

Geographic Knowledge

• ABOUT EXTERNAL GEOGRAPHIC INFORMATION AND KNOWLEDGE IN SMART CITIES, pages 51–58

Geographic Reasoning

• ABOUT EXTERNAL GEOGRAPHIC INFORMATION AND KNOWLEDGE IN SMART CITIES, pages 51–58

geo-reference

• MOBILE TRAFFIC ALERT AND TOURIST ROUTE GUIDANCE SYSTEM DESIGN USING GEOSPATIAL DATA, pages 11–18

geo-spatial information dissemination

• MOBILE TRAFFIC ALERT AND TOURIST ROUTE GUIDANCE SYSTEM DESIGN USING GEOSPATIAL DATA, pages 11–18

grammatical categories

• RECOGNIZING REFERENCES TO PHYSICAL PLACES INSIDE SHORT TEXTS BY USING PATTERNS AS A SEQUENCE OF GRAMMATICAL CATEGORIES, pages 83–89

H

Heat map

• TELECOM BIG DATA FOR URBAN TRANSPORT ANALYSIS – A CASE STUDY OF SPLIT-DALMATIA COUNTY IN CROATIA, pages 5–10

Human sensors

• CLASSIFICATION OF TRAFFIC RELATED SHORT TEXTS TO ANALYSE ROAD PROBLEMS IN URBAN AREAS, pages 91–97

I

Intelligent traffic information system

• MOBILE TRAFFIC ALERT AND TOURIST ROUTE GUIDANCE SYSTEM DESIGN USING GEOSPATIAL DATA, pages 11–18

Internet of Things

• FROM INTERNET OF THINGS TO SMART DATA FOR SMART URBAN MONITORING, pages 19–28
• GENERIC MODULE FOR COLLECTING DATA IN SMART CITIES, pages 65–72

L

legal certainty

• Making Sense for Society, pages 105–108

location identification

• RECOGNIZING REFERENCES TO PHYSICAL PLACES INSIDE SHORT TEXTS BY USING PATTERNS AS A SEQUENCE OF GRAMMATICAL CATEGORIES, pages 83–89

M

Machine Learning

• CLASSIFICATION OF TRAFFIC RELATED SHORT TEXTS TO ANALYSE ROAD PROBLEMS IN URBAN AREAS, pages 91–97

Mobile communication

• MOBILE TRAFFIC ALERT AND TOURIST ROUTE GUIDANCE SYSTEM DESIGN USING GEOSPATIAL DATA, pages 11–18

mapping

• PLACE-MAKING: AN APPROACH TO THE RATIONALE BEHIND THE LOCATION CHOICE OF POWER PLACES. IOWA STATE UNIVERSITY CAMPUS AS CASE STUDY, pages 73–81

O

open data

• Making Sense for Society, pages 105–108

P

Public space understanding

• URBAN MULTISENSORY LABORATORY, AN APPROACH TO MODEL URBAN SPACE HUMAN PERCEPTION, pages 29–35

patterns

• RECOGNIZING REFERENCES TO PHYSICAL PLACES INSIDE SHORT TEXTS BY USING PATTERNS AS A SEQUENCE OF GRAMMATICAL CATEGORIES, pages 83–89

power places

• PLACE-MAKING: AN APPROACH TO THE RATIONALE BEHIND THE LOCATION CHOICE OF POWER PLACES. IOWA STATE UNIVERSITY CAMPUS AS CASE STUDY, pages 73–81

privacy

• Making Sense for Society, pages 105–108

public space

• Making Sense for Society, pages 105–108

Q

Qualitative analysis

• URBAN MULTISENSORY LABORATORY, AN APPROACH TO MODEL URBAN SPACE HUMAN PERCEPTION, pages 29–35

R

reports

• RECOGNIZING REFERENCES TO PHYSICAL PLACES INSIDE SHORT TEXTS BY USING PATTERNS AS A SEQUENCE OF GRAMMATICAL CATEGORIES, pages 83–89

S

Sensors

• Making Sense for Society, pages 105–108

Short message service

• MOBILE TRAFFIC ALERT AND TOURIST ROUTE GUIDANCE SYSTEM DESIGN USING GEOSPATIAL DATA, pages 11–18

Short messages

• RECOGNIZING REFERENCES TO PHYSICAL PLACES INSIDE SHORT TEXTS BY USING PATTERNS AS A SEQUENCE OF GRAMMATICAL CATEGORIES, pages 83–89

Smart Cities

• AN ANALYSIS OF CONTEXT-AWARE DATA MODELS FOR SMART CITIES: TOWARDS FIWARE AND ETSI CIM EMERGING DATA MODEL, pages 43–50
• ABOUT EXTERNAL GEOGRAPHIC INFORMATION AND KNOWLEDGE IN SMART CITIES, pages 51–58
• GENERIC MODULE FOR COLLECTING DATA IN SMART CITIES, pages 65–72

Smart City

• FROM INTERNET OF THINGS TO SMART DATA FOR SMART URBAN MONITORING, pages 19–28
• A CLOUD-BASED ARCHITECTURE FOR SMART VIDEO SURVEILLANCE, pages 99–104

Smart Destinations

• AN ANALYSIS OF CONTEXT-AWARE DATA MODELS FOR SMART CITIES: TOWARDS FIWARE AND ETSI CIM EMERGING DATA MODEL, pages 43–50

Smart Mobility

• GENERIC MODULE FOR COLLECTING DATA IN SMART CITIES, pages 65–72

Smart Security

• A CLOUD-BASED ARCHITECTURE FOR SMART VIDEO SURVEILLANCE, pages 99–104

Smart Sensing

• A CLOUD-BASED ARCHITECTURE FOR SMART VIDEO SURVEILLANCE, pages 99–104

Social media participation

• SOCIAL MEDIA PARTICIPATION IN URBAN PLANNING: A NEW WAY TO INTERACT AND TAKE DECISIONS, pages 59–64

sentiment analysis

• SOCIAL MEDIA PARTICIPATION IN URBAN PLANNING: A NEW WAY TO INTERACT AND TAKE DECISIONS, pages 59–64

smart city

• ANALYSIS OF SOLAR POTENTIAL OF ROOFS BASED ON DIGITAL TERRAIN MODEL, pages 37–41
• Making Sense for Society, pages 105–108

solar potential of roofs

• ANALYSIS OF SOLAR POTENTIAL OF ROOFS BASED ON DIGITAL TERRAIN MODEL, pages 37–41

T

Telecom big data

• TELECOM BIG DATA FOR URBAN TRANSPORT ANALYSIS – A CASE STUDY OF SPLIT-DALMATIA COUNTY IN CROATIA, pages 5–10

Territorial Intelligence

• ABOUT EXTERNAL GEOGRAPHIC INFORMATION AND KNOWLEDGE IN SMART CITIES, pages 51–58

Tourism

• TELECOM BIG DATA FOR URBAN TRANSPORT ANALYSIS – A CASE STUDY OF SPLIT-DALMATIA COUNTY IN CROATIA, pages 5–10

Traffic

• CLASSIFICATION OF TRAFFIC RELATED SHORT TEXTS TO ANALYSE ROAD PROBLEMS IN URBAN AREAS, pages 91–97

Traffic alert

• MOBILE TRAFFIC ALERT AND TOURIST ROUTE GUIDANCE SYSTEM DESIGN USING GEOSPATIAL DATA, pages 11–18

Traffic management

• MOBILE TRAFFIC ALERT AND TOURIST ROUTE GUIDANCE SYSTEM DESIGN USING GEOSPATIAL DATA, pages 11–18

textual analysis

• SOCIAL MEDIA PARTICIPATION IN URBAN PLANNING: A NEW WAY TO INTERACT AND TAKE DECISIONS, pages 59–64

U

Urban Knowledge

• URBAN MULTISENSORY LABORATORY, AN APPROACH TO MODEL URBAN SPACE HUMAN PERCEPTION, pages 29–35

Urban Monitoring

• FROM INTERNET OF THINGS TO SMART DATA FOR SMART URBAN MONITORING, pages 19–28

Urban Space Laboratory

• URBAN MULTISENSORY LABORATORY, AN APPROACH TO MODEL URBAN SPACE HUMAN PERCEPTION, pages 29–35

Urban transport

• TELECOM BIG DATA FOR URBAN TRANSPORT ANALYSIS – A CASE STUDY OF SPLIT-DALMATIA COUNTY IN CROATIA, pages 5–10

urban planning

• SOCIAL MEDIA PARTICIPATION IN URBAN PLANNING: A NEW WAY TO INTERACT AND TAKE DECISIONS, pages 59–64

user’s analysis

• SOCIAL MEDIA PARTICIPATION IN URBAN PLANNING: A NEW WAY TO INTERACT AND TAKE DECISIONS, pages 59–64

V

Volunteered Geographic Information

• CLASSIFICATION OF TRAFFIC RELATED SHORT TEXTS TO ANALYSE ROAD PROBLEMS IN URBAN AREAS, pages 91–97

volunteered geographic information (VGI)

• PLACE-MAKING: AN APPROACH TO THE RATIONALE BEHIND THE LOCATION CHOICE OF POWER PLACES. IOWA STATE UNIVERSITY CAMPUS AS CASE STUDY, pages 73–81