Selected Topics in Geoinformatics


The (Geo) Information (R) Evolution

Ann Oliver

I think, we can understand this lecture in two meanings: firstly, how evolution of geography is progressing in every day. From the discoveries of Eratosthenes to technological geography or to GIS. Secondly, geography has done and continuing to do revolution. Everything that surrounds us is changing in every minute. So, information is updated so fast. Due to this lecture I remembered one sentence, who has new information that owns the world. Social processes and media lead to spatial information. Over 50% of world’s population is under 30 years old, and 96% of them are joined social network. It says despite to where and how far each other we are connected in one space, in space geoinformation system.

Citizen perception of spatial distribution of crime risk

by Andrea Pődör

Place has a vital role in understanding crime and how crime can be tackled. I also want to start my short description about this lecture with this sentence. This project also one of the clearest examples of that the GIS is important and spread everywhere. The purpose of this lecture was to show role of space, place and GIS in law enforcement and in creating crime maps. The first map about crime analysis was created in 1833 by Andre-Michel-Guerry. In 1925 was based 5 zones: central business, transition zone, factory workers home, residential zone, commuter zone.
The role of GIS and crime mapping is very important to identifying crime hotspots for targeting suitable crime reduction responses, monitoring the impacts of crime reduction activities.
For studying crime area more closer in this project researches contained 13 questions to ask people, and 5 of them  were personal questions, other were about zone and respondents categorized each zone for their safety: safe, less safe, dangerous etc. According to the result most of the victims are women and most of offenders are local citizens. In the last year 17% of people were victim. The research was done in Hungary. This study area about crime statistics have to be improved. 

Arid Ecosystem Evaluation and Monitoring using Multi–Source Geo-Information – A Case Study of Tarim Basin in Northwest China
by Alishir Kurban

As title shows us the purpose of this research was to show role of the GIS in studying, evaluation, and monitoring the Earth’s surface. In this case we were informed with ecological state of Tarim Basin which is situated in Northwest of China.
Various but unique fragile ecosystems are formed in arid and semi-arid land in which take almost 40% of continental land of the earth. In this areas amount of precipitation lower than transpiration and evaporation. If mean precipitation is lower than 100 mm per year, that will be Hyper Arid Zone. If between 100-300 mm – Arid Zone, if 300-800 mm – Semi-Arid, and 800-1200 mm – Dry Sub-Humid Zone. Also depending on geographical location northwest part of China (Tarim Basin) comprise Arid zone with total area 2.5 million square kilometer. 

Monitoring of restoration process of degraded riparian forest ecosystems along the lower Tarim River, Northwest China.
by Umut Halik et al.,

The main aim of this research was to show ecological problems, water scarcity, role of vegetation in water transfer process by remote sensing and terrestrial samples. Working area was Argan River which situated between Kuruk Tag and Taklamakan deserts. They did remote sensing analysis (rough classification of vegetation, classification of populus euphratica, Tamarix and Reed, classification of vitality,) of riparian vegetation, mainly trees, there were 4500 trees. In conclusion trees were accurate delineated, separated into 3 vitality categories.
At the and I want to say the role of Remote sensing Analysis is very important and best approach for monitoring particular objects on the earth’s surface. This project showed us meanings of terrestrial sampling, VHRS data analysis for monitoring vegetation of Tarim Basin. I just can say thanks for researches and wish them good luck.

Geodesigning Settlement Areas and Redensification Options in Salzburg Province
by Bernhard Vockner and Wolfgang Spitzer

In this course I could to be more familiarize with a lot of sites of geoinformatics, because every researcher has own project, own methods to reach the goal, and I could collect more idea. Every researcher’s approaches differ from others. This lecture also was interesting for me with unusual methods and ideas.
Research area of this project is federal state Salzburg where 119 municipalities, more than 534 000 inhabitants, 470 000 parcels, and building land (residential) 10 679 hectares. Used data from SAGIS Database (it is Geog. Inform. System of Salzburg)  land use plan; parcels; land use cover (remote sensing); cadastral buildings; ALS 1m (DSM/DTM).
Due to the course, I have learned how to do mobilization of existing reserves or potential building land. Because the population is growing day by day and in the future the land should be sufficient for everyone.

GIS-based Bicycle Transportation Planning
by Robin Wendel

Due to this lecture, I have received more information not only about web mapping, but also about ArcGIS Online. Using various of programming languages we can create a lot of useful maps for everyone, even who does not know much more about maps. Web application of bicycle road planner at is very handy and convenient to use for people who rides bicycle. Benefits of this application are: everyday mobility, shows information not only bicycle roads, even weather forecast for 2 hours (air temperature and precipitation), shows safe way for pupils and students. For example, I asked cycle way from one building of University Salzburg to another building and it shows me the right way from A item to B.

“Learning GIS” to “Learning WITH GI” – Spatially Enabled Learning in (Secondary) Education
by ​Robert Vogler


Nowadays to imagine our life without GIS is difficult. Everything in our life is related with GIS. That is why learning GIS use to foster spatial and analytical thinking. Visually prepared content shows a much wider memorability than verbal or textual issues (Weidenmann 2016). When both visual and verbal representations are used, people both process and remember the information more efficiently. For example, almost everybody needs weather information everyday, and most of them prefer to see forecast information from TV, because there we can see particular region (city, country etc.) with visual example of some parameters of weather (sunshine, snow, thunder, lightning etc.).
The main goal of the project is – geographically organize the learning contents and make it universally accessible and useful.


Web-Mapping Clients Integrating ‘Streaming Data’
by Caroline Atzl

In this lecture I have cemented my knowledge from Advanced Cartography course, because I once again was convinced that web mapping is very important and spread nowadays in our life. Web mapping is the process of using maps delivered by geographical information systems (GIS). The most interesting things in this lecture for me were “stream layer” and “stream data”. Stream layer is a layer type in the ArcGIS JavaScript API to get real-time data into web apps. Real-time data is a continuous stream of events. It could be with notifications as Geofences. Geofence allows you to trigger  an event to happen when a mobile device enters the specified location. Stream layer different from feature layer in that Stream layer is suitable to map dynamic streams of data that are unbounded and continuous.

Cloud Computing & Current Trends in Geoinformatics
by Josef Strobl

Sensor is measuring everything that we need to explore of particular objects (depth, level, voice and other). We can measure everything (people activity, hotspots of crime, urban mobility, etc.), it is physically life, but we can measure it in remote sensing. The physical is connected with internet, that is why it is possible to find where is the location of particular object. For example, to create the people activity in using transportation we can use data from Qando or any other apps or websites (Qando one of the mobile apps to find transportation). Also I would like to examine to one sentence from this lecture “streams will replace static data “. It will be in the near future, because we see, the world is dynamic and every minute even second information renewed. Actually the sensor is a device that measures a physical quantity and converts it into a signal which can be read by an observer or by an instrument. Our life is closely related with sensors nowadays.