This study examines landscape change in the Province of Jämtland during c. 1000–1750 AD. Settlement and arable cultivation are two of the most important sources in this study. They are therefore treated in depth, particularly farmsteads that were deserted during the late medieval agrarian crisis, so-called ödesbölen, and their fossil field-traces. The dissertation contains four major investigations. In the first investigation 610 possible ödesbölen were identified. The desertion was estimated at 50 per cent. The second investigation had its focus on the geographic location, and the conclusion was that the ödesbölen may have been deserted when the climate turned colder in the 14th century. The third investigation concerned medieval agriculture. Using historical maps and detailed mapping of fossil field traces it was established that the annually cultivated acreage decreased from the High Middle Ages until early modern times. This probably means that the agrarian crisis caused a change in the agrarian regime, from predominant arable farming to predominant stock-raising. The fourth investigation was whether the ownership or the use of the ödesbölen created obstacles to recolonization when the crisis subsided. This turned out not to be so in the case of ownership, but may have been so with regard to communal forest grazing. According to historical maps the ödesbölen in Jämtland were finally recolonized about 200 years later than for example in southern Sweden. The reasons probably were wars and a worse climate. The dissertation is capped off with both a model and a description of landscape change in Jämtland. Characteristic for the development of the landscape has been fluctuations in settlement. The ödesbölen are part of a pattern in which they are colonized, deserted, recolonized and again deserted in a cyclical course of events. The openness of the landscape is not part of this course of events.

Changes of land use influence landscape structure, ecological stability, biodiversity and course of biotic and abiotic processes. The intensity of these changes mainly depends on geographic location of the area, land attractiveness and a level of maturity or development of the society. This thesis is focused on evaluation of historical and present changes of land use in Novohradsko and Stropnicko area. This area had in past decades and centuries undergone major landscape changes that are shown on many map sources. These data were elaborated through GIS tools and subsequently analyzed. According to my conclusion, the long- and short-term trends in observed changes of land use have been identified. Since the early 19th Century the arable land area had declined whereas the grasslands had spread out in the studied area. In contrast, recent years resulted in fact that an increase of grass area has stopped which does not coincide with the general effort to grass the LFA.

Land use changes have become a major contributor to the anthropogenic global change. The ongoing dispersion and concentration of the human species, being at their orders unprecedented, have indisputably altered Earth’s surface and atmosphere. The effects are so salient and irreversible that a new geological epoch, following the interglacial Holocene, has been announced: the Anthropocene. While its onset is by some scholars dated back to the Neolithic revolution, it is commonly referred to the late 18th century. The rapid development since the industrial revolution and its implications gave rise to an increasing awareness of the extensive anthropogenic land change and led to an urgent need for sustainable strategies for land use and land management. By preserving of landscape and settlement patterns at discrete points in time, archival geospatial data sources such as remote sensing imagery and historical geotopographic maps, in particular, could give evidence of the dynamic land use change during this crucial period. In this context, this thesis set out to explore the potentials of retrospective geoinformation for monitoring, communicating, modeling and eventually understanding the complex and gradually evolving processes of land cover and land use change. Currently, large amounts of geospatial data sources such as archival maps are being worldwide made online accessible by libraries and national mapping agencies. Despite their abundance and relevance, the usage of historical land use and land cover information in research is still often hindered by the laborious visual interpretation, limiting the temporal and spatial coverage of studies. Thus, the core of the thesis is dedicated to the computational acquisition of geoinformation from archival map sources by means of digital image analysis. Based on a comprehensive review of literature as well as the data and proposed algorithms, two major challenges for long-term retrospective information acquisition and change detection were identified: first, the diversity of geographical entity representations over space and time, and second, the uncertainty inherent to both the data source itself and its utilization for land change detection. To address the former challenge, image segmentation is considered a global non-linear optimization problem. The segmentation methods and parameters are adjusted using a metaheuristic, evolutionary approach. For preserving adaptability in high level image analysis, a hybrid model- and data-driven strategy, combining a knowledge-based and a neural net classifier, is recommended. To address the second challenge, a probabilistic object- and field-based change detection approach for modeling the positional, thematic, and temporal uncertainty adherent to both data and processing, is developed. Experimental results indicate the suitability of the methodology in support of land change monitoring. In conclusion, potentials of application and directions for further research are given.

Land use changes have become a major contributor to the anthropogenic global change. The ongoing dispersion and concentration of the human species, being at their orders unprecedented, have indisputably altered Earth’s surface and atmosphere. The effects are so salient and irreversible that a new geological epoch, following the interglacial Holocene, has been announced: the Anthropocene. While its onset is by some scholars dated back to the Neolithic revolution, it is commonly referred to the late 18th century. The rapid development since the industrial revolution and its implications gave rise to an increasing awareness of the extensive anthropogenic land change and led to an urgent need for sustainable strategies for land use and land management. By preserving of landscape and settlement patterns at discrete points in time, archival geospatial data sources such as remote sensing imagery and historical geotopographic maps, in particular, could give evidence of the dynamic land use change during this crucial period. In this context, this thesis set out to explore the potentials of retrospective geoinformation for monitoring, communicating, modeling and eventually understanding the complex and gradually evolving processes of land cover and land use change. Currently, large amounts of geospatial data sources such as archival maps are being worldwide made online accessible by libraries and national mapping agencies. Despite their abundance and relevance, the usage of historical land use and land cover information in research is still often hindered by the laborious visual interpretation, limiting the temporal and spatial coverage of studies. Thus, the core of the thesis is dedicated to the computational acquisition of geoinformation from archival map sources by means of digital image analysis. Based on a comprehensive review of literature as well as the data and proposed algorithms, two major challenges for long-term retrospective information acquisition and change detection were identified: first, the diversity of geographical entity representations over space and time, and second, the uncertainty inherent to both the data source itself and its utilization for land change detection. To address the former challenge, image segmentation is considered a global non-linear optimization problem. The segmentation methods and parameters are adjusted using a metaheuristic, evolutionary approach. For preserving adaptability in high level image analysis, a hybrid model- and data-driven strategy, combining a knowledge-based and a neural net classifier, is recommended. To address the second challenge, a probabilistic object- and field-based change detection approach for modeling the positional, thematic, and temporal uncertainty adherent to both data and processing, is developed. Experimental results indicate the suitability of the methodology in support of land change monitoring. In conclusion, potentials of application and directions for further research are given.

Syftet med denna uppsats är att undersöka vad som skiljer de lämningar åt från kvarnverksamhet som inte finns i  Fornsök från de som är registrerade som kulturlämning. Historiskt kartmaterial har studerats för att försöka få en uppfattning om det är så att de inte platsar i ramen för en forn- kulturlämning, dvs tillkommen efter år 1850 och om det är därför de inte finns i registret. Alla lämningarna  från kvarnar i Forshälla socken går att återfinna på kartor före år 1850. Uppsatsen önskar också öka uppmärksamheten på denna typ av lämningar i skog och mark så att de erhåller ett starkare skydd när skogen ska avverkas. En analys har gjorts gällande var och en av lämningarna och miljön runt dessa och om de riskerar att skadas vid en avverkning av skogen. / The purpose of this essay is to investigate what distinguishes the remains from mill activities that are not found in Fornsök from those that are registered as cultural remains. Historical map material has been studied to try to get an idea of whether it is the case that they do not fit within the framework of an ancient cultural relic, i.e., added after the year 1850 and if that is why they are not in the register. All the remains from water mills in Forshälla parish can be found on maps before the year 1850. The essay also wishes to increase attention to this type of remains in forest and land so they can receive stronger protection when the forest is cut down. An analysis has been made of each of the remains and the environment around them and whether they are at risk of damage when the forest is harvested.

This dissertation deals with the long-term dynamics and fluctuations of settlements on Gotland for the period from AD 200 up until early modern times. The settlement structure on Gotland is most often described as very stable and consisting of solitary farms, established in the Iron Age. A contrasting view is presented by analyses of a vast source material from different periods. The source material consists of both physical remains, noted in the Swedish national Archaeological Sites Information System, FMIS and large scale historical maps, as well as other written sources. For the first studied period, the locations of some 2 000 houses are known, since they were constructed with sturdy stone walls and are thus preserved. The source material for the following periods is scarcer, but some hundred Viking Age sites are identified, mainly by the find places of silver hoards. By retrogressive analyses of historical maps, from the decades around the year 1700, and other written sources, later periods are analysed. All available data are gathered in geodatabases, which enables both generalised and detailed spatial and statistical analyses. The results of the analyses show a more varied picture, with great fluctuations in the number of farms; the existence of villages is also clearly indicated in a large part of the settlements. The villages are centred on kinship and the lack of strong royal power or landed gentry meant they were not fixed in cadastres, as fiscal units, as villages were on the Swedish mainland. Two peaks, followed by major dips, were identified in the number of settlements and thus in the population. The first peak occurred during the late Roman Iron Age/Migration period, which was followed by a reduction in the Vendel period of possibly up to 30-50%. After this, a recovery started in the Viking Age, which culminated during the heydays of Gotland in the High Middle Ages, with population numbers most probably not surpassed until late in history. This upward trend was broken by the diminishing trade of Gotland, the Medieval agrarian crisis, The Danish invasion and later events. All this resulted in a decline, probably as great as after the Migration period.

The goal of this thesis is to experiment with the latest web technologies and to design new process for mobile application creation. It is possible to create multiplatform applications which are almost unrecognizable from native applications by proposed procedures.  It is focused on performance and native behaviour of the user interface in this thesis. Described practices are demonstrated on application designed for work with historical maps, which is able to show maps from historical archives whole over world real-time. Rapid acceleration has been showed on the demonstrative application compared to standard process of creation of web applications.