The (Geo) Information (R) Evolution
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.,
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
“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
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.