A Spatio-Temporal Local Association Query Algorithm for Multi-Source Remote Sensing Big Data

It is extremely important to extract valuable information and achieve efficient integration of remote sensing data. The multi-source and heterogeneous nature of remote sensing data leads to the increasing complexity of these relationships, and means that the processing mode based on data ontology cannot meet requirements any more. On the other hand, the multi-dimensional features of remote sensing data bring more difficulties in data query and analysis, especially for datasets with a lot of noise. Therefore, data quality has become the bottleneck of data value discovery, and a single batch query is not enough to support the optimal combination of global data resources. In this paper, we propose a spatio-temporal local association query algorithm for remote sensing data (STLAQ). Firstly, we design a spatio-temporal data model and a bottom-up spatio-temporal correlation network. Then, we use the method of partition-based clustering and the method of spectral clustering to measure the correlation between spatio-temporal correlation networks. Finally, we construct a spatio-temporal index to provide joint query capabilities. We carry out local association query efficiency experiments to verify the feasibility of STLAQ on multi-scale datasets. The results show that the STLAQ weakens the barriers between remote sensing data, and improves their application value effectively.

Making Better Choices

Making Better Choices is about how we make decisions together and the tools we use to get to those decisions. We make joint decisions out of necessity because the choices we make affect each other. Each decision we take has a consequence. This book reinforces why we need better systems design and analyses given the consequences of our decisions. It is also about carefully thinking about the values of the choices we make, whether they occur in a small meeting of individuals in a local association or community or in a national election. It will illuminate the differences between sincere behavior and strategic behavior to defeat an opponent in voting, the latter being quite common. The book will also review different voting systems, what their original intents were, and what their deficits are. In trying to bring all these topics together and more, the authors realized that the book is in essence an outcome of the arranged marriage between social choice and systems engineering that they conducted. The more one begins to explore the aspects of social choice and systems engineering, the more one realizes how much they have in common, and how much more they can offer if they are unified.

Entrepreneurial Ecosystems in Low-Density Regions

Low density regions face many development challenges. In the Alentejo region of Portugal, and in many other Southern European regions, such challenges have been intensified by the cumulative effects of the financial and economic crises, and the subsequent austerity. In such context, and to promote region catching up and sustainable development, a number of policies designed to promote local entrepreneurial ecosystems have been reinforced. In this study, we focus on one of these policies' instruments – business incubation - and on the region of Alentejo, and describe five incubators implemented by a local regional development association (ADRAL), some municipalities, a national association of young entrepreneurs (ANJE), and a local association of entrepreneurs (NERE). We assess the incubators' distinctive characteristics and those of some incubated projects, aiming at identifying the specificities of this approach and its success determinants.