New insights into the neolithisation process in southwest Europe according to spatial density analysis from calibrated radiocarbon dates

The agricultural way of life spreads throughout Europe via two main routes: the Danube corridor and the Mediterranean basin. Current archaeological literature describes the arrival to the Western Mediterranean as a rapid process which involves both demic and cultural models, and in this regard, the dispersal movement has been investigated using mathematical models, where the key factors are time and space. In this work, we have created a compilation of all available radiocarbon dates for the whole of Iberia, in order to draw a chronological series of maps to illustrate temporal and spatial patterns in the neolithisation process. The maps were prepared by calculating the calibrated 14C date probability density curves, as a proxy to show the spatial dynamics of the last hunter-gatherers and first farmers. Several scholars have pointed out problems linked with the variability of samples, such as the overrepresentation of some sites, the degree of regional research, the nature of the dated samples and above all the archaeological context, but we are confident that the selected dates, after applying some filters and statistical protocols, constitute a good way to approach settlement spatial patterns in Iberia at the time of the neolithisation process.     

An exploration of regional climate change scenarios for Scotland

Based on a high resolution regional climate model (RCM) experiment, a climate change scenario for Scotland for the end of this century is constructed with the aim of exploring the added value of utilising a regional rather than a global model (GCM) for climate change scenario construction. Spatial variations in regional seasonal average temperature and precipitation change are analysed and the local response of ‘extreme’ weather events to climate warming is assessed using daily model output. The analyses suggest that in comparison with the GCM, the RCM does not provide fundamentally different patterns of seasonal climate change and daily weather response over Scotland, although it does capture more subtle spatial variations in these changes. The RCM also simulates more realistic daily weather events than the GCM, although the relative changes in the frequencies of daily extremes are not greatly different. However, with the limited length of the single model simulation analysed here, it is not easy to establish how robust and significant are the sub‐national patterns of climate response across Scotland. To improve the quality and comprehensiveness of regional climate change scenario information, a number of research issues remain to be addressed.     

Google Earth, GIS and stone-walled structures in southern Gauteng, South Africa

In South Africa, air photos were used in the 1960s and 1970s to plot distribution maps of pre-colonial stone-walled structures in order to study the peopling of this landscape. Different architectural styles of stone-walled structures were attributed to different cultures, who shared a mixed agricultural and pastoralist economic base and a cattle centered world-view. New technologies such as Google Earth satellite imagery as well as Geographic Information System software justify revisiting these structures as they facilitate more complex analyses of larger databases. The spatial analysis of remotely sensed settlement data from the Suikerbosrand Nature Reserve near Johannesburg shows significant changes in settlement patterns from dispersed homesteads to nucleated towns during the last two or three centuries before colonial times. These changes echo similar patterns reported in the neighboring North West Province, where they have been interpreted as a sequence of evolution in social, political and economic complexity. In the Suikerbosrand reserve climate change, conflict and other factors may have helped bring about the observed changes in settlement patterns.     

Detrended fluctuation analysis of daily atmospheric surface temperature records in Atlantic Canada

The presence and properties of long‐range correlations in temperature data reflect interactions among climate components; therefore, the quantitative characterization of scaling aspects of temperature patterns is important to climate research and can serve as an effective constituent of tests for climate models. The article presents the results of a study using multiscale characterization of daily atmospheric surface temperature patterns in Atlantic Canada. Important influences in this region are exerted from the west (the Pacific Ocean), the south (the Gulf of Mexico) and the north (the Arctic), while a significant easterly impact is due to the Atlantic Ocean; the corresponding processes involve a wide range of spatial and temporal scales. The objective of the present study of long‐term temperature recordings was to evaluate the scaling properties produced in this geographical context. The data consist of homogenized daily atmospheric temperature time series recorded in stations from Atlantic Canada over a time interval of more than 100 years. Detrended fluctuation analysis (DFA) was applied both to maximum and minimum temperature records. The atmospheric temperature pattern produced by the interplay of factors of different strengths and dominating various time‐space scales was found to be characterized by consistent scaling properties, expressed over time intervals ranging from months to decades. Higher values of DFA scaling exponents were obtained for minimum temperature compared to maximum temperature records. Site‐specific properties include stronger pattern persistence—higher DFA exponents—for oceanic than for coastal locations; persistence tends to decrease with increasing distance from the coast for distances up to 10 kilometres. Scaling exponents tend to increase with decreasing difference between average minimum and maximum temperature, which may be relevant for the assessment of future changes in pattern variability if climate change involves modified contrasts between minimum and maximum temperature values.     

Agent-based simulation of the spatial evolution of the historical population in China

This paper presents an agent-based simulation (ABS) and cellular automata (CA) coupled model to simulate the spatial evolution of the population of China over the past 2000 years. In the model, agents are used to simulate individuals who live in a geographic environment represented by the CA. The choice to migrate is influenced by climate change, potential agricultural productivity change, and waves of mass migrations. Using the simulation, we can observe the spatial evolution of the population, as well as the shift of the population center of gravity, and we can analyze the driving forces of these changing spatial patterns.     

Developments in flood maps for flood risk management in Scotland

ABSTRACT

Sustainable flood risk management in Scotland is underpinned by the Flood Risk Management (Scotland) Act 2009. Effective delivery of actions to reduce the adverse impact of flooding are dependent on a collaborative approach by Responsible Authorities and a common understanding of flood hazard and risk. Over the last few decades, flood hazard maps have established a prominent role as essential tools in supporting effective flood risk management. They have developed as a result of improved national datasets and advances in computer processing. Improvements in modelling confidence and in the spatial representation of hazard and risk-inform confident actions set out in Flood Risk Management Strategies that coordinate actions supporting adaptation to future hazard conditions. The continued development of the accurate spatial representation of flood hazard and risk is an essential component of enhancing resilience in the face of future climate change.     

Irrigator relations with water in the Sunraysia region,northwestern Victoria

Irrigated agriculture faces significant challenges under climate change, and may not be feasible in parts of the Murray‐Darling Basin beyond 2050. Recent research into the cultural politics of water has paid limited attention to the water cultures and relations of irrigators in Minority World countries. We analyse the water relations of grape farm irrigators in the Sunraysia region of Victoria using interviews and farm tours undertaken between 2014 and 2016. Findings are summarised under five themes: (1) the sociality of irrigation water, (2) temporal and spatial relations, (3) the risk of rain, (4) the micro‐scale of water knowledge, and (5) environment as actor. These themes shed light on the diverse relations that constitute both environmental and irrigation water. Irrigators are embedded in these relations at multiple scales, local and distant, mediated by technology and infrastructure. The scale of our focus makes visible water and other forms of environmental knowledge that often go unnoticed in broader debates over irrigation. The concept of “the environment”, understood as an embodied actor in policy discourse and by irrigators, is an emergent trend that warrants ongoing research attention.     

MODIS‐derived NDVI Characterisation of Drought‐Induced Evergreen Dieoff in Western North America

Vegetation stress or mortality can be the result of many factors including drought‐induced water deficit, insect infestations and failures of, or fluctuations in, precipitation sources typical to an area. Reduction of cover and reduced health are identifiable in remotely‐sensed multispectral satellite images. A suite of images from NASA's MODIS sensor was used to calculate the Normalised Difference Vegetation Index (NDVI) during the 2000–2006 North American growing seasons. Fluctuations in NDVI over this period show a significant decline in vegetative health in the region with specific areas showing changes linked to moisture sources, prevailing wind patterns, slope aspect and solar radiation receipt. Ground‐truthing of these areas has confirmed the extent and magnitude of the dieoff signal. Historically, dieoff has been reversed through regeneration as climate conditions return to a normal regime. However, quantification of recent vegetative change in western North America suggests that the degree of change may be too severe for regrowth to occur and may have far‐reaching impacts on a scale unseen in modern times. The loss of vegetative habitat and native species in semi‐arid regions and lack of regeneration in these marginal ecosystems due to prolonged drought are growing global problems. Similar drought stress impacts on marginal ecotypes have also been observed in semi‐arid regions of Australia, South America, Asia and Africa. Observations of the spatial pattern of temperate forest vegetation globally can be used to develop a precise picture of vegetative health in these regions and how they are reacting to global climate change.     

Climate Maps in National Atlases

A complete climate section of a national atlas should contain maps, tables and graphs presenting data on climate-forming factors, the temperature regime, moisture supply, climatic regions and typical weather situations. Published national atlases are analyzed and recommendations for the treatment of climate are made. Particular importance is attached to the integrated presentation of several climatic elements on a single map. The value of climatic maps for various segments of the economy (agriculture, construction, transportation) is emphasized.     

陕西窑洞传统乡村聚落景观基因组图谱构建及特征分析

窑洞聚落是黄土高原最典型的聚落形态，它具有悠久的历史、深厚的精神文化内涵以及独特的文化景观特征，在陕西渭北地区和陕北黄土高原丘陵沟壑区分布广泛。本研究基于传统聚落景观基因组图谱的相关研究，以陕西31个窑洞传统乡村聚落为研究对象，按照“单个窑洞聚落、多个窑洞聚落、特定研究区”三个层次，构建了窑洞聚落的典型院落图谱、空间序列图谱、院落模式图谱、排列模式图谱和空间格局图谱五大类型图谱体系。通过分析窑洞聚落景观基因组图谱的基本特征，进一步验证了构建窑洞聚落景观基因组图谱的必要性和迫切性。本研究旨在丰富景观基因组图谱层次，推动景观基因研究向区域层面发展，并为窑洞聚落景观基因信息链修复及景观基因区域识别系统构建等相关研究奠定基础，为保护与发展窑洞聚落提供科学依据。     

Exploring scale-dependent correlations between cancer mortality rates using factorial kriging and population-weighted semivariograms

This article presents a geostatistical methodology that accounts for spatially varying population size in the processing of cancer mortality data. The approach proceeds in two steps: (1) spatial patterns are first described and modeled using population-weighted semivariogram estimators, (2) spatial components corresponding to nested structures identified on semivariograms are then estimated and mapped using a variant of factorial kriging. The main benefit over traditional spatial smoothers is that the pattern of spatial variability (i.e., direction-dependent variability, range of correlation, presence of nested scales of variability) is directly incorporated into the computation of weights assigned to surrounding observations. Moreover, besides filtering the noise in the data, the procedure allows the decomposition of the structured component into several spatial components (i.e., local versus regional variability) on the basis of semivariogram models. A simulation study demonstrates that maps of spatial components are closer to the underlying risk maps in terms of prediction errors and provide a better visualization of regional patterns than the original maps of mortality rates or the maps smoothed using weighted linear averages. The proposed approach also attenuates the underestimation of the magnitude of the correlation between various cancer rates resulting from noise attached to the data. This methodology has great potential to explore scale-dependent correlation between risks of developing cancers and to detect clusters at various spatial scales, which should lead to a more accurate representation of geographic variation in cancer risk, and ultimately to a better understanding of causative relationships.     

Quantifying woodland resource usage and selection from Neolithic to post Mediaeval times in the Irish Midlands

The antiquity and context (site or feature type) are the two principal factors that act as a framework for interpreting charcoal and wood data from archaeological sites in the recreation of past woodland environments. This research addresses these parameters through the analysis of over 18,000 charcoal fragments from 57 archaeological excavations carried out along a 61?km road scheme in the midland region of Ireland. Observations on spatial vegetation dynamics and woodland resource patterns are also reported on. The data were analysed through percentage frequency and multivariate analyses. The results reveal woodland resource usage in terms of wood types selected for use as fuel or as structural wood as well as patterns of change and variability in taxonomic composition in relation to site types, feature types and time periods. Selection was found to be low in prehistoric times and in particular at burnt mound sites/fulachta fiadh but became increasingly important as time progressed. This has important implications when charcoal from archaeological settings is used in environmental reconstructions.     

珠江三角洲巨型区域空间组织与空间结构演变研究

选取1990年、1995年、2000年,2005年和2010年珠江三角洲各城市数据,构建综合指标体系,利用全局主成分分析测算珠三角空间组织格局演变过程,提取珠三角空间组织格局演变的城市经济、物质空间和人口空间因子。研究发现:①珠三角空间组织格局经历"单中心"向"双中心"的演变过程,并开始呈现多中心网络化趋势;②城市区域空间组织经历缓速演变、加速演变和转型演变三个阶段,效率由低级向中、高级形态变化;③从全球化、区域化、市场化、城市化和分权化等维度来解释珠三角城市区域空间组织和效率格局演变的动力机制。建议从增强城市竞争力、推进空间均衡和加强资源环境协调等角度引导珠三角空间组织格局演变。     

The Effect of Spatial Stimuli on the Estimation of Cognitive Maps

Hand-drawn and multidimensionally scaled maps of cities in the United States are compared with respect to their congruence with physical maps of the corresponding cities and with respect to subject's evaluations of their similarity to physical maps. The cities chosen are systematically varied to determine the effect of different spatial patterns on the subjects' performance. Hand-drawn maps are shown to be more like physical maps. Subjects also rate their drawn maps as being more like actual maps than multidimensionally scaled maps. Changes with respect to the spatial pattern of stimuli are apparent.     

Spatial and temporal variation in vulnerability of crop production to drought in southern Alberta

Growing evidence of global climate change has led to global concerns over the vulnerability of agriculture to drought. Located in a semiarid environment, southern Alberta has suffered significant losses of agricultural productivity due to drought hazards in recent decades. Understanding the relationship between crop production and drought conditions is essential for coping with increasingly uncertain climate conditions. This study attempts to quantify the magnitude of crop production vulnerability to drought in southern Alberta. The standard precipitation index is used to measure drought stress in the region. The empirical results provide a detailed picture of the spatial variation in crop production vulnerability to varying drought conditions. Vulnerability maps from this study reveal that pockets in the study area may experience significant productivity loss given the existing level of adaptive capacity. While the irrigation districts have been associated with a lower level of vulnerability than dryland outside the irrigated region, uncertain water supply under varying climatic conditions coupled with increasing water allocation for non‐agricultural uses may increase the vulnerability in these districts.     

Prioritising Heritage Resources in a Time of Loss: Sea Level Rise and Archaeological Resources of the Middle Atlantic Region,US

ABSTRACT

The US Middle Atlantic region, known for its rich archaeological record and diverse topographic settings, is experiencing a range of climate change impacts, most notably: sea level rise and coastal erosion in its tidal zones. Documented palaeostratigraphic and palynological studies throughout the region provide a record of late Pleistocene/Holocene environmental response to changing climate, confirming observations from other disciplines that the magnitude of modern impacts exceeds past temporal and spatial patterns. The corresponding impact on archaeological resources is great, requiring a renewed effort to document threatened sites while also working with local and state governments to develop mitigation strategies. The Middle Atlantic Archaeological Conference (MAAC) created the Sea Level Rise and Storm Surge Committee to promote regional partnerships in site impact assessment and mitigation strategies. The network highlights the predicament of archaeology in this time of climate change: accelerated research and discovery in the face of catastrophic loss.     

Concerning values: what underlies public polarisation about climate change?

Climate change is a partisan issue, with increasingly politically polarised responses, particularly in Anglophone countries. While politics clearly have a role in determining attitudes to climate science and policy, understanding the human values that underlie attitudes offers advantages over a focus on political differences. This study examines public concern about climate change in Hobart, the state capital of Tasmania, Australia. Hobart is a microcosm of polarisation about environmental issues due to its long history of conflict over natural resource use. Using a survey of 522 citizens of Hobart, the research examines the values underlying concern and unconcern about climate change. Applying an innovative analysis of human values to this area of research, I have found that, in the Tasmanian context, the unconcerned may be categorised into two groups with opposing values: people who prioritise national security, social order, and tradition; and people who value freedom of choice and the ability to make their own decisions. High levels of climate change concern are associated strongly with care for nature, suggesting that climate change is seen primarily as a threat to the environment, rather than to humanity. In this article, I argue that understanding the values underlying divergent interpretations of the threat of climate change is essential to resolving deadlock in political discourse. The work draws lessons for re‐engaging the unconcerned in inclusive conversations about climate change through narratives addressing a broader range of values.     

Exploring the Use of Computer Vision Metrics for Spatial Pattern Comparison

Detection of changes in spatial processes has long been of interest to quantitative geographers seeking to test models, validate theories, and anticipate change. Given the current “data-rich” environment of today, it may be time to reconsider the methodological approaches used for quantifying change in spatial processes. New tools emerging from computer vision research may hold particular potential to make significant advances in quantifying changes in spatial processes. In this article, two comparative indices from computer vision, the structural similarity (SSIM) index, and the complex wavelet structural similarity (CWSSIM) index were examined for their utility in the comparison of real and simulated spatial data sets. Gaussian Markov random fields were simulated and compared with both metrics. A case study into comparison of snow water equivalent spatial patterns over northern Canada was used to explore the properties of these indices on real-world data. CWSSIM was found to be less sensitive than SSIM to changing window dimension. The CWSSIM appears to have significant potential in characterizing change and/or similarity; distinguishing between map pairs that possess subtle structural differences. Further research is required to explore the utility of these approaches for empirical comparison cases of different forms of landscape change and in comparison to human judgments of spatial pattern differences.     

Monitoring Land‐Cover and Land‐Use Change in a Rapidly Urbanising Coastal Environment: the Maroochy and Mooloolah Rivers Catchments,Southeast Queensland, 1988–1997

Effective catchment monitoring requires an integrative approach for selecting remotely sensed data to monitor land‐cover change. Catchment analyses and monitoring requirements in the Maroochy and Mooloolah River Catchments (south‐east Queensland) were addressed by linking government and community information needs to appropriate scales of remotely sensed data and processing routines. A hybrid image classification approach applied to Landsat Thematic Mapper image data acquired in 1988 and 1997 provided catchment scale land‐cover maps (with accuracies of 73% and 84%). Land‐cover change maps derived from post‐classification comparison provided information on the spatial distribution and type of land‐cover changes between 1988–1997. Land‐cover change was dominated by activities related to urban residential expansion (suburban and rural residential) and agricultural expansion (sugar cane farms). Significant spatial variations in the geometric registration accuracy of the image data sets and classification accuracies produced moderate to low change detection accuracies. However, the framework and community consultation used for selecting and processing data ensured the resource managers and community groups were fully aware of the limitations of the land‐cover change mapping process and that the output images were suitable for incorporating in resource monitoring activities.     

Spatial Patterns of Annual July-June Rainfall Fluctuations in Tropical Queensland, 1900/01 to 1979/80

Annual July-June (rather than January-December) rainfall is considered for the first 80 years of this century Le. 1900/01 to 1979/80, for 24 stations with uninterrupted records in tropical Queensland The aim is to define and examine spatial patterns of rainfall fluctuations, both in terms of categories of annual rainfall patterns and regional units with roughly comparable annual rainfall fluctuations. The essential characteristics of the categories and regions, defined by principal components analysis and a classification algorithm, are illustrated in a variety of maps, based on different methods of analysis. Relationships between their annual rainfall values and seasonal values of sea-surface temperatures for the eastern tropical Pacific Ocean are also examined The considerable degree of uniformity across tropical Queensland in terms of temporal rainfall fluctuations was counterbalanced by a variety of differences in detail that are organised on a regional basis.