<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Activity graphs: Spatial graphs as a framework for quantifying individual mobility."
Abstract:"Human mobility is poorly captured by existing methods which employ simple measures to quantify human mobility patterns. This paper develops spatial graph-based methods to quantify patterns of human mobility-termed activity graphs. Activity graphs are constructed with anchors representing activity locations and edges connecting anchors representing movement between anchors. We first perform a factor analysis to identify four primary dimensions of mobility that can be derived from activity graphs: quantity, extent, connectedness, and clustering. A case study with GPS tracking data from a sample of UK-based workers is then used to demonstrate how activity graphs can be applied in practice and how new dimensions of mobility captured by activity graphs may lead to new insights about mobility behaviour. We provide several promising new areas for future work where activity graphs can be further extended to address increasingly sophisticated spatial questions around individual mobility. Our analysis fits within the time-geographic framework presented by Hagerstrand, and our results highlight opportunities for continued research motivated by issues emphasized by Hagerstrand in his seminal work.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.

Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.

Q4: What type of climate or environmental keywords are explicitly mentioned?:  0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.

Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.

Use the following template: 

Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [];
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Q4 = [0];
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Q6 = [1].
Activity graphs: Spatial graphs as a framework for quantifying individual mobility
Human mobility is poorly captured by existing methods which employ simple measures to quantify human mobility patterns. This paper develops spatial graph-based methods to quantify patterns of human mobility-termed activity graphs. Activity graphs are constructed with anchors representing activity locations and edges connecting anchors representing movement between anchors. We first perform a factor analysis to identify four primary dimensions of mobility that can be derived from activity graphs: quantity, extent, connectedness, and clustering. A case study with GPS tracking data from a sample of UK-based workers is then used to demonstrate how activity graphs can be applied in practice and how new dimensions of mobility captured by activity graphs may lead to new insights about mobility behaviour. We provide several promising new areas for future work where activity graphs can be further extended to address increasingly sophisticated spatial questions around individual mobility. Our analysis fits within the time-geographic framework presented by Hagerstrand, and our results highlight opportunities for continued research motivated by issues emphasized by Hagerstrand in his seminal work.